-
1
-
-
33750628303
-
Temporal representation and reasoning in medicine: research directions and challenges
-
Adlassnig K.-P., Combi C., Das A.K., Keravnou E.T., Pozzi G. Temporal representation and reasoning in medicine: research directions and challenges. Artificial Intelligence in Medicine 2006, 38(2):101-113.
-
(2006)
Artificial Intelligence in Medicine
, vol.38
, Issue.2
, pp. 101-113
-
-
Adlassnig, K.-P.1
Combi, C.2
Das, A.K.3
Keravnou, E.T.4
Pozzi, G.5
-
2
-
-
0001781779
-
Dynamic network models for forecasting
-
Morgan Kaufmann Publishers Inc., San Francisco, CA, ISBN 1-55860-258-5, D. Dubois, M.P. Wellman (Eds.)
-
Dagum P., Galper A., Horvitz E. Dynamic network models for forecasting. Proceedings of the 8th conference on uncertainty in artificial intelligence, UAI 92 1992, 41-48. Morgan Kaufmann Publishers Inc., San Francisco, CA, ISBN 1-55860-258-5. D. Dubois, M.P. Wellman (Eds.).
-
(1992)
Proceedings of the 8th conference on uncertainty in artificial intelligence, UAI 92
, pp. 41-48
-
-
Dagum, P.1
Galper, A.2
Horvitz, E.3
-
5
-
-
77949269473
-
Using hierarchical dynamic Bayesian networks to investigate dynamics of organ failure in patients in the intensive care unit
-
Peelen L., de Keizer N., Jonge E., Bosman R., Abu-Hanna A., Peek N. Using hierarchical dynamic Bayesian networks to investigate dynamics of organ failure in patients in the intensive care unit. Journal of Biomedical Informatics 2010, 43(2):273-286.
-
(2010)
Journal of Biomedical Informatics
, vol.43
, Issue.2
, pp. 273-286
-
-
Peelen, L.1
de Keizer, N.2
Jonge, E.3
Bosman, R.4
Abu-Hanna, A.5
Peek, N.6
-
6
-
-
84872091823
-
A continuous time Bayesian network model for cardiogenic heart failure
-
ISSN 1936-6582
-
Gatti E., Luciani D., Stella F. A continuous time Bayesian network model for cardiogenic heart failure. Flexible Services and Manufacturing Journal 2012, 24(4):496-515. ISSN 1936-6582.
-
(2012)
Flexible Services and Manufacturing Journal
, vol.24
, Issue.4
, pp. 496-515
-
-
Gatti, E.1
Luciani, D.2
Stella, F.3
-
7
-
-
34848926019
-
The TREAT, project
-
ISSN 0924-8579
-
Leibovici L., Paul M., Nielsen A., Tacconelli E., Andreassen S. The TREAT, project. International Journal of Antimicrobial Agents 2007, 30(Suppl. 1):93-102. ISSN 0924-8579.
-
(2007)
International Journal of Antimicrobial Agents
, vol.30
, Issue.SUPPL. 1
, pp. 93-102
-
-
Leibovici, L.1
Paul, M.2
Nielsen, A.3
Tacconelli, E.4
Andreassen, S.5
-
8
-
-
84883658864
-
Temporal abstractions for interpreting diabetic patients monitoring data
-
Bellazzi R., Larizza C., Riva A. Temporal abstractions for interpreting diabetic patients monitoring data. Intelligent Data Analysis 1998, 2(1-4):97-122.
-
(1998)
Intelligent Data Analysis
, vol.2
, Issue.1-4
, pp. 97-122
-
-
Bellazzi, R.1
Larizza, C.2
Riva, A.3
-
9
-
-
0030200817
-
Knowledge-based temporal abstraction in clinical domains
-
Shahar Y., Musen M. Knowledge-based temporal abstraction in clinical domains. Artificial Intelligence in Medicine 1996, 8(3):267-298.
-
(1996)
Artificial Intelligence in Medicine
, vol.8
, Issue.3
, pp. 267-298
-
-
Shahar, Y.1
Musen, M.2
-
11
-
-
0026870035
-
Bayesian networks for patient monitoring
-
Berzuini C., Bellazzi R., Quaglini S., Spiegelhalter D. Bayesian networks for patient monitoring. Artificial Intelligence in Medicine 1992, 4(3):243-260.
-
(1992)
Artificial Intelligence in Medicine
, vol.4
, Issue.3
, pp. 243-260
-
-
Berzuini, C.1
Bellazzi, R.2
Quaglini, S.3
Spiegelhalter, D.4
-
12
-
-
0033917328
-
Bayesian analysis of blood glucose time series from diabetes home monitoring
-
ISSN 0018-9294
-
Bellazzi R., Magni P., Nicolao G.D. Bayesian analysis of blood glucose time series from diabetes home monitoring. IEEE Transactions on Biomedical Engineering 2000, 47(7):971-975. ISSN 0018-9294.
-
(2000)
IEEE Transactions on Biomedical Engineering
, vol.47
, Issue.7
, pp. 971-975
-
-
Bellazzi, R.1
Magni, P.2
Nicolao, G.D.3
-
13
-
-
33845455091
-
Temporal abstraction in intelligent clinical data analysis: a survey
-
Stacey M., McGregor C. Temporal abstraction in intelligent clinical data analysis: a survey. Artificial Intelligence in Medicine 2007, 39(1):1-24.
-
(2007)
Artificial Intelligence in Medicine
, vol.39
, Issue.1
, pp. 1-24
-
-
Stacey, M.1
McGregor, C.2
-
14
-
-
0021466185
-
Towards a general theory of action and time
-
Allen J. Towards a general theory of action and time. Artificial Intelligence 1984, 23(2):123-154.
-
(1984)
Artificial Intelligence
, vol.23
, Issue.2
, pp. 123-154
-
-
Allen, J.1
-
15
-
-
0001445808
-
A temporal logic for reasoning about processes and plans
-
ISSN 1551-6709
-
McDermott D. A temporal logic for reasoning about processes and plans. Cognitive Science 1982, 6(2):101-155. ISSN 1551-6709.
-
(1982)
Cognitive Science
, vol.6
, Issue.2
, pp. 101-155
-
-
McDermott, D.1
-
16
-
-
0022605949
-
A logic based calculus of events
-
ISSN 0288-3635
-
Kowalski R., Sergot M. A logic based calculus of events. New Generation Computing 1986, 4(1):67-95. ISSN 0288-3635.
-
(1986)
New Generation Computing
, vol.4
, Issue.1
, pp. 67-95
-
-
Kowalski, R.1
Sergot, M.2
-
17
-
-
0023421571
-
Temporal logics in AI: semantical and ontological considerations
-
Shoham Y. Temporal logics in AI: semantical and ontological considerations. Artificial Intelligence 1987, 33:89-104.
-
(1987)
Artificial Intelligence
, vol.33
, pp. 89-104
-
-
Shoham, Y.1
-
18
-
-
84855963112
-
Temporal granularity
-
Springer, US, ISBN 978-0-387-35544-3, 978-0-387-39940-9, L. Liu, M.T. Özsu (Eds.)
-
Bettini C., Wang X.S., Jajodia S. Temporal granularity. Encyclopedia of database systems 2009, 2968-2973. Springer, US, ISBN 978-0-387-35544-3, 978-0-387-39940-9. L. Liu, M.T. Özsu (Eds.).
-
(2009)
Encyclopedia of database systems
, pp. 2968-2973
-
-
Bettini, C.1
Wang, X.S.2
Jajodia, S.3
-
19
-
-
11144288633
-
Temporal reasoning for decision support in medicine
-
Augusto J.C. Temporal reasoning for decision support in medicine. Artificial Intelligence in Medicine 2005, 33(1):1-24.
-
(2005)
Artificial Intelligence in Medicine
, vol.33
, Issue.1
, pp. 1-24
-
-
Augusto, J.C.1
-
20
-
-
0027159320
-
RÉSUMÉ: a temporal-abstraction system for patient monitoring
-
Shahar Y., Musen M., et al. RÉSUMÉ: a temporal-abstraction system for patient monitoring. Computers and Biomedical Research 1993, 26:255-273.
-
(1993)
Computers and Biomedical Research
, vol.26
, pp. 255-273
-
-
Shahar, Y.1
Musen, M.2
-
21
-
-
84888068559
-
RASTA: a distributed temporal abstraction system to facilitate knowledge-driven monitoring of clinical databases
-
OConnor M.J., Grosso W.E., Tu S.W., Musen M.A. RASTA: a distributed temporal abstraction system to facilitate knowledge-driven monitoring of clinical databases. Studies in Health Technology and Informatics 2001, 1:508-512.
-
(2001)
Studies in Health Technology and Informatics
, vol.1
, pp. 508-512
-
-
OConnor, M.J.1
Grosso, W.E.2
Tu, S.W.3
Musen, M.A.4
-
22
-
-
34548065538
-
Exploiting temporal relations in mining hepatitis data
-
Ho T., Nguyen C., Kawasaki S., Le S., Takabayashi K. Exploiting temporal relations in mining hepatitis data. New Generation Computing 2007, 25(3):247-262.
-
(2007)
New Generation Computing
, vol.25
, Issue.3
, pp. 247-262
-
-
Ho, T.1
Nguyen, C.2
Kawasaki, S.3
Le, S.4
Takabayashi, K.5
-
23
-
-
0033165202
-
A multidimensional and multigranular model of time for medical knowledge-based systems
-
Keravnou E.T. A multidimensional and multigranular model of time for medical knowledge-based systems. Journal of Intelligent Information Systems 1999, 13(1-2):73-120.
-
(1999)
Journal of Intelligent Information Systems
, vol.13
, Issue.1-2
, pp. 73-120
-
-
Keravnou, E.T.1
-
24
-
-
0032255089
-
Intelligent data analysis for medical diagnosis using machine learning and temporal abstraction
-
ISSN 0921-7126
-
Lavrač N., Kononenko I., Keravnou E., Kukar M., Zupan B. Intelligent data analysis for medical diagnosis using machine learning and temporal abstraction. AI Communications 1998, 11(3,4):191-218. ISSN 0921-7126.
-
(1998)
AI Communications
, vol.11
, Issue.3-4
, pp. 191-218
-
-
Lavrač, N.1
Kononenko, I.2
Keravnou, E.3
Kukar, M.4
Zupan, B.5
-
25
-
-
0032384750
-
Dynamic temporal interpretation contexts for temporal abstraction
-
ISSN 1012-2443
-
Shahar Y. Dynamic temporal interpretation contexts for temporal abstraction. Annals of Mathematics and Artificial Intelligence 1998, 22(1-2):159-192. ISSN 1012-2443.
-
(1998)
Annals of Mathematics and Artificial Intelligence
, vol.22
, Issue.1-2
, pp. 159-192
-
-
Shahar, Y.1
-
27
-
-
0025887082
-
Combining physiologic models and symbolic methods to interpret time-varying patient data
-
Kahn M., Fagan L., Sheiner L. Combining physiologic models and symbolic methods to interpret time-varying patient data. Methods of Information in Medicine 1991, 30(3):167-178.
-
(1991)
Methods of Information in Medicine
, vol.30
, Issue.3
, pp. 167-178
-
-
Kahn, M.1
Fagan, L.2
Sheiner, L.3
-
29
-
-
0022864326
-
ARAMIS (The American Rheumatism Association Medical Information System): a prototypical national chronic-disease data bank
-
Fries J.F., McShane D.J. ARAMIS (The American Rheumatism Association Medical Information System): a prototypical national chronic-disease data bank. Western Journal of Medicine 1986, 145(6):798-804.
-
(1986)
Western Journal of Medicine
, vol.145
, Issue.6
, pp. 798-804
-
-
Fries, J.F.1
McShane, D.J.2
-
30
-
-
0031069719
-
A framework for knowledge-based temporal abstraction
-
Shahar Y. A framework for knowledge-based temporal abstraction. Artificial Intelligence 1997, 90(1-2):79-133.
-
(1997)
Artificial Intelligence
, vol.90
, Issue.1-2
, pp. 79-133
-
-
Shahar, Y.1
-
33
-
-
70350496548
-
Multivariate time series classification with temporal abstractions
-
AAAI Press, H.C. Lane, H.W. Guesgen (Eds.)
-
Batal I., Sacchi L., Bellazzi R., Hauskrecht M. Multivariate time series classification with temporal abstractions. Florida artificial intelligence research society conference 2009, 344-349. AAAI Press. H.C. Lane, H.W. Guesgen (Eds.).
-
(2009)
Florida artificial intelligence research society conference
, pp. 344-349
-
-
Batal, I.1
Sacchi, L.2
Bellazzi, R.3
Hauskrecht, M.4
-
34
-
-
26944488666
-
Dichotomization of ICU length of stay based on model calibration
-
Verduijn M., Peek N., Voorbraak F., De Jonge E., De Mol B. Dichotomization of ICU length of stay based on model calibration. Artificial Intelligence in Medicine 2005, 67-76.
-
(2005)
Artificial Intelligence in Medicine
, pp. 67-76
-
-
Verduijn, M.1
Peek, N.2
Voorbraak, F.3
De Jonge, E.4
De Mol, B.5
-
35
-
-
0029437513
-
PROTEGE-II: computer support for development of intelligent systems from libraries of components
-
Musen M.A., Gennari J.H., Eriksson H., Tu S.W., Puerta A.R. PROTEGE-II: computer support for development of intelligent systems from libraries of components. Medinfo 1995, 8(Pt 1):766-770.
-
(1995)
Medinfo
, vol.8
, Issue.PART 1
, pp. 766-770
-
-
Musen, M.A.1
Gennari, J.H.2
Eriksson, H.3
Tu, S.W.4
Puerta, A.R.5
-
36
-
-
85056069514
-
A scalable architecture for incremental specification and maintenance of procedural and declarative clinical decision-support knowledge
-
ISSN 1874-4311
-
Hatsek A., Shahar Y., Taieb-Maimon M., Shalom E., Klimov D., Lunenfeld E. A scalable architecture for incremental specification and maintenance of procedural and declarative clinical decision-support knowledge. Open Medical Informatics Journal 2010, 4:255-277. ISSN 1874-4311.
-
(2010)
Open Medical Informatics Journal
, vol.4
, pp. 255-277
-
-
Hatsek, A.1
Shahar, Y.2
Taieb-Maimon, M.3
Shalom, E.4
Klimov, D.5
Lunenfeld, E.6
-
37
-
-
34548277939
-
Temporal abstraction for feature extraction: a comparative case study in prediction from intensive care monitoring data
-
Verduijn M., Sacchi L., Peek N., Bellazzi R., de Jonge E., de Mol B.A. Temporal abstraction for feature extraction: a comparative case study in prediction from intensive care monitoring data. Artificial Intelligence in Medicine 2007, 1-12.
-
(2007)
Artificial Intelligence in Medicine
, pp. 1-12
-
-
Verduijn, M.1
Sacchi, L.2
Peek, N.3
Bellazzi, R.4
de Jonge, E.5
de Mol, B.A.6
-
38
-
-
34548083516
-
Data mining with temporal abstractions: learning rules from time series
-
Sacchi L., Larizza C., Combi C., Bellazzi R. Data mining with temporal abstractions: learning rules from time series. Data Mining and Knowledge Discovery 2007, 15(2):217-247.
-
(2007)
Data Mining and Knowledge Discovery
, vol.15
, Issue.2
, pp. 217-247
-
-
Sacchi, L.1
Larizza, C.2
Combi, C.3
Bellazzi, R.4
-
40
-
-
26944478356
-
Segmenting time series: a survey and novel approach
-
M. Last, A. Kandel, H. Bunke (Eds.)
-
Keogh E.J., Chu S., Hart D., Pazzani M. Segmenting time series: a survey and novel approach. Data mining in time series databases, vol. 57 of Series in machine perception and artificial intelligence, chap. 1 2004, 1-22. M. Last, A. Kandel, H. Bunke (Eds.).
-
(2004)
Data mining in time series databases, vol. 57 of Series in machine perception and artificial intelligence, chap. 1
, pp. 1-22
-
-
Keogh, E.J.1
Chu, S.2
Hart, D.3
Pazzani, M.4
-
41
-
-
0033164603
-
Deriving trends in historical and real-time continuously sampled medical data
-
Salatian A., Hunter J. Deriving trends in historical and real-time continuously sampled medical data. Journal of Intelligent Information Systems 1999, 13(1):47-71.
-
(1999)
Journal of Intelligent Information Systems
, vol.13
, Issue.1
, pp. 47-71
-
-
Salatian, A.1
Hunter, J.2
-
42
-
-
0026075662
-
TQuery: a context-sensitive temporal query language
-
Kahn M., Tu S., Fagan L. TQuery: a context-sensitive temporal query language. Computers and Biomedical Research 1991, 24(5):401-419.
-
(1991)
Computers and Biomedical Research
, vol.24
, Issue.5
, pp. 401-419
-
-
Kahn, M.1
Tu, S.2
Fagan, L.3
-
43
-
-
0003391330
-
-
Morgan Kaufmann Publishers Inc, San Francisco, CA, USA, ISBN 0-934613-73-7
-
Pearl J. Probabilistic reasoning in intelligent systems: networks of plausible inference 1988, Morgan Kaufmann Publishers Inc, San Francisco, CA, USA, ISBN 0-934613-73-7.
-
(1988)
Probabilistic reasoning in intelligent systems: networks of plausible inference
-
-
Pearl, J.1
-
44
-
-
70649111792
-
-
The MIT Press, Cambridge, USA, ISBN 0262013193, 9780262013192
-
Koller D., Friedman N. Probabilistic graphical models: principles and techniques 2009, The MIT Press, Cambridge, USA, ISBN 0262013193, 9780262013192.
-
(2009)
Probabilistic graphical models: principles and techniques
-
-
Koller, D.1
Friedman, N.2
-
45
-
-
84859434921
-
Overview on Bayesian networks applications for dependability risk analysis and maintenance areas
-
Weber P., Medina-Oliva G., Simon C., Iung B. Overview on Bayesian networks applications for dependability risk analysis and maintenance areas. Engineering Applications of Artificial Intelligence 2012, 25(4):671-682.
-
(2012)
Engineering Applications of Artificial Intelligence
, vol.25
, Issue.4
, pp. 671-682
-
-
Weber, P.1
Medina-Oliva, G.2
Simon, C.3
Iung, B.4
-
46
-
-
85012673903
-
Assessment, criticism and improvement of imprecise subjective probabilities for a medical expert system
-
Spiegelhalter D.J., Franklin R.C.G., Bull K. Assessment, criticism and improvement of imprecise subjective probabilities for a medical expert system. Proceedings of the 5th annual conference on uncertainty in artificial intelligence, UAI'89 1990, 285-294.
-
(1990)
Proceedings of the 5th annual conference on uncertainty in artificial intelligence, UAI'89
, pp. 285-294
-
-
Spiegelhalter, D.J.1
Franklin, R.C.G.2
Bull, K.3
-
47
-
-
0030095171
-
Hailfinder: a Bayesian system for forecasting severe weather
-
Abramson B., Brown J., Edwards W., Murphy A., Winkler R.L. Hailfinder: a Bayesian system for forecasting severe weather. International Journal of Forecasting 1996, 12(1):57-71.
-
(1996)
International Journal of Forecasting
, vol.12
, Issue.1
, pp. 57-71
-
-
Abramson, B.1
Brown, J.2
Edwards, W.3
Murphy, A.4
Winkler, R.L.5
-
48
-
-
36048964967
-
Prognostic Bayesian networks. I: Rationale, learning procedure, and clinical use
-
Verduijn M., Peek N., Rosseel P., de Jonge E., de Mol B. Prognostic Bayesian networks. I: Rationale, learning procedure, and clinical use. Journal of Biomedical Informatics 2007, 40(6):609-618.
-
(2007)
Journal of Biomedical Informatics
, vol.40
, Issue.6
, pp. 609-618
-
-
Verduijn, M.1
Peek, N.2
Rosseel, P.3
de Jonge, E.4
de Mol, B.5
-
49
-
-
0142052944
-
A Bayesian networks approach for predicting protein-protein interactions from genomic data
-
Jansen R., Yu H., Greenbaum D., Kluger Y., Krogan N.J., Chung S., et al. A Bayesian networks approach for predicting protein-protein interactions from genomic data. Science 2003, 302(5644):449-453.
-
(2003)
Science
, vol.302
, Issue.5644
, pp. 449-453
-
-
Jansen, R.1
Yu, H.2
Greenbaum, D.3
Kluger, Y.4
Krogan, N.J.5
Chung, S.6
-
53
-
-
0002216264
-
A semantics for probabilistic quantifier-free first-order languages, with particular application to story understanding
-
Morgan Kaufmann Publishers Inc, N.S. Sridharan (Ed.)
-
Charniak E., Goldman R.P. A semantics for probabilistic quantifier-free first-order languages, with particular application to story understanding. Proceedings of the 11th international joint conference on artificial intelligence (IJCA) 1989, 1074-1079. Morgan Kaufmann Publishers Inc. N.S. Sridharan (Ed.).
-
(1989)
Proceedings of the 11th international joint conference on artificial intelligence (IJCA)
, pp. 1074-1079
-
-
Charniak, E.1
Goldman, R.P.2
-
55
-
-
58349115825
-
Large engineering project risk management using a Bayesian belief network
-
Lee E., Park Y., Shin J.G. Large engineering project risk management using a Bayesian belief network. Expert Systems with Applications 2009, 36(3):5880-5887.
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.3
, pp. 5880-5887
-
-
Lee, E.1
Park, Y.2
Shin, J.G.3
-
56
-
-
85055382272
-
-
CRC Press, Queen Mary University of London, UK, ISBN 1439809100
-
Fenton N.E., Neil M.D. Risk assessment and decision analysis with Bayesian networks, 1 2012, November, CRC Press, Queen Mary University of London, UK, ISBN 1439809100.
-
(2012)
Risk assessment and decision analysis with Bayesian networks, 1
-
-
Fenton, N.E.1
Neil, M.D.2
-
58
-
-
0001670678
-
The Lumiere project: Bayesian user modeling for inferring the goals and needs of software users
-
Morgan Kaufmann Publishers Inc, G.F. Cooper, S. Moral (Eds.)
-
Horvitz E., Breese J., Heckerman D., Hovel D., Rommelse K. The Lumiere project: Bayesian user modeling for inferring the goals and needs of software users. Proceedings of the 14th conference on uncertainty in artificial intelligence 1998, 256-265. Morgan Kaufmann Publishers Inc. G.F. Cooper, S. Moral (Eds.).
-
(1998)
Proceedings of the 14th conference on uncertainty in artificial intelligence
, pp. 256-265
-
-
Horvitz, E.1
Breese, J.2
Heckerman, D.3
Hovel, D.4
Rommelse, K.5
-
59
-
-
56349168101
-
A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients
-
ISSN 1506 0957-4174
-
Charitos T., van der Gaag L.C., Visscher S., Schurink K.A.M., Lucas P.J.F. A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients. Expert Systems and Applications 2009, 36(2):1249-1258. ISSN 1506 0957-4174.
-
(2009)
Expert Systems and Applications
, vol.36
, Issue.2
, pp. 1249-1258
-
-
Charitos, T.1
van der Gaag, L.C.2
Visscher, S.3
Schurink, K.A.M.4
Lucas, P.J.F.5
-
60
-
-
23944516252
-
Temporal Bayesian network of events for diagnosis and prediction in dynamic domains
-
Arroyo-Figueroa G., Sucar L. Temporal Bayesian network of events for diagnosis and prediction in dynamic domains. Applied Intelligence 2005, 23(2):77-86.
-
(2005)
Applied Intelligence
, vol.23
, Issue.2
, pp. 77-86
-
-
Arroyo-Figueroa, G.1
Sucar, L.2
-
61
-
-
0034160101
-
Planning treatment of ischemic heart disease with partially observable Markov decision processes
-
Hauskrecht M., Fraser H.S.F. Planning treatment of ischemic heart disease with partially observable Markov decision processes. Artificial Intelligence in Medicine 2000, 18(3):221-244.
-
(2000)
Artificial Intelligence in Medicine
, vol.18
, Issue.3
, pp. 221-244
-
-
Hauskrecht, M.1
Fraser, H.S.F.2
-
62
-
-
84947431988
-
NasoNet Joining Bayesian networks, and time to model nasopharyngeal cancer spread
-
Springer, Berlin, Heidelberg, S. Quaglini, P. Barahona, S. Andreassen (Eds.)
-
Galán S., Aguado F., Díez F.J., Mira J., NasoNet Joining Bayesian networks, and time to model nasopharyngeal cancer spread. Artificial intelligence in medicine, lecture notes in computer science 2001, 207-216. Springer, Berlin, Heidelberg. S. Quaglini, P. Barahona, S. Andreassen (Eds.).
-
(2001)
Artificial intelligence in medicine, lecture notes in computer science
, pp. 207-216
-
-
Galán, S.1
Aguado, F.2
Díez, F.J.3
Mira, J.4
-
64
-
-
2942529188
-
Continuous-time Bayesian modeling of clinical data
-
M.W. Berry, D. Skillicorn, C. Kamath, U. Dayal (Eds.)
-
Sandilya S., Rao R.B. Continuous-time Bayesian modeling of clinical data. Proceedings of the 4th SIAM international conference on data mining (SDM) 2004, 22-24. M.W. Berry, D. Skillicorn, C. Kamath, U. Dayal (Eds.).
-
(2004)
Proceedings of the 4th SIAM international conference on data mining (SDM)
, pp. 22-24
-
-
Sandilya, S.1
Rao, R.B.2
-
65
-
-
0002823247
-
Forecasting sleep apnea with dynamic network models
-
Morgan Kaufmann Publishers Inc, San Francisco, CA, D. Heckerman, E.H. Mamdani (Eds.)
-
Dagum P., Galper A. Forecasting sleep apnea with dynamic network models. Proceedings of the 9th annual conference on uncertainty in artificial intelligence (UAI-93) 1993, 64-71. Morgan Kaufmann Publishers Inc, San Francisco, CA. D. Heckerman, E.H. Mamdani (Eds.).
-
(1993)
Proceedings of the 9th annual conference on uncertainty in artificial intelligence (UAI-93)
, pp. 64-71
-
-
Dagum, P.1
Galper, A.2
-
67
-
-
0002313648
-
Tradeoffs in constructing and evaluating temporal influence diagrams
-
Morgan Kaufmann Publishers Inc, D. Heckerman, E.H. Mamdani (Eds.)
-
Provan G. Tradeoffs in constructing and evaluating temporal influence diagrams. Proceedings of the 9th international conference on uncertainty in artificial intelligence 1993, 40-47. Morgan Kaufmann Publishers Inc. D. Heckerman, E.H. Mamdani (Eds.).
-
(1993)
Proceedings of the 9th international conference on uncertainty in artificial intelligence
, pp. 40-47
-
-
Provan, G.1
-
68
-
-
0024038570
-
Probabilistic inference and influence diagrams
-
Shachter R.D. Probabilistic inference and influence diagrams. Operations Research 1988, 36(4):589-604.
-
(1988)
Operations Research
, vol.36
, Issue.4
, pp. 589-604
-
-
Shachter, R.D.1
-
69
-
-
0033083498
-
Explicit temporal models for decision-theoretic planning of clinical management
-
Peek N. Explicit temporal models for decision-theoretic planning of clinical management. Artificial Intelligence in Medicine 1999, 15:135-154.
-
(1999)
Artificial Intelligence in Medicine
, vol.15
, pp. 135-154
-
-
Peek, N.1
-
71
-
-
0000435056
-
Probabilistic temporal networks: a unified framework for reasoning with time and uncertainty
-
Santos E., Young J.D. Probabilistic temporal networks: a unified framework for reasoning with time and uncertainty. International Journal of Approximate Reasoning 1999, 20:263-291.
-
(1999)
International Journal of Approximate Reasoning
, vol.20
, pp. 263-291
-
-
Santos, E.1
Young, J.D.2
-
73
-
-
84995287788
-
Representing time in causal probabilistic networks
-
North-Holland Publishing Co, M. Henrion, R.D. Shachter, L.N. Kanal, J.F. Lemmer (Eds.)
-
Berzuini C. Representing time in causal probabilistic networks. Proceedings of the 5th annual conference on uncertainty in artificial intelligence 1990, 15-28. North-Holland Publishing Co. M. Henrion, R.D. Shachter, L.N. Kanal, J.F. Lemmer (Eds.).
-
(1990)
Proceedings of the 5th annual conference on uncertainty in artificial intelligence
, pp. 15-28
-
-
Berzuini, C.1
-
74
-
-
80053162393
-
Irregular-time Bayesian networks
-
AUAI Press, Corvallis, OR, P. Grünwald, P. Spirtes (Eds.)
-
Ramati M., Shahar Y. Irregular-time Bayesian networks. Proceedings of the 26th conference annual conference on uncertainty in artificial intelligence (UAI-10) 2010, 484-491. AUAI Press, Corvallis, OR. P. Grünwald, P. Spirtes (Eds.).
-
(2010)
Proceedings of the 26th conference annual conference on uncertainty in artificial intelligence (UAI-10)
, pp. 484-491
-
-
Ramati, M.1
Shahar, Y.2
-
75
-
-
0028224073
-
A probabilistic approach to glucose prediction and insulin dose adjustment: description of metabolic model and pilot evaluation study
-
ISSN 0169-2607, doi:10.1016/0169-2607(94)90052-3
-
Andreassen S., Benn J.J., Hovorka R., Olesen K.G., Carson E.R. A probabilistic approach to glucose prediction and insulin dose adjustment: description of metabolic model and pilot evaluation study. Computer Methods and Programs in Biomedicine 1994, 41(3-4):153-165. ISSN 0169-2607, doi:10.1016/0169-2607(94)90052-3.
-
(1994)
Computer Methods and Programs in Biomedicine
, vol.41
, Issue.3-4
, pp. 153-165
-
-
Andreassen, S.1
Benn, J.J.2
Hovorka, R.3
Olesen, K.G.4
Carson, E.R.5
-
76
-
-
84990553353
-
A model for reasoning about persistence and causation
-
ISSN 0824-7935
-
Dean T., Kanazawa K. A model for reasoning about persistence and causation. Computational Intelligence 1989, 5(3):142-150. ISSN 0824-7935.
-
(1989)
Computational Intelligence
, vol.5
, Issue.3
, pp. 142-150
-
-
Dean, T.1
Kanazawa, K.2
-
80
-
-
0001460136
-
On sequential Monte Carlo sampling methods for Bayesian filtering
-
Doucet A., Godsill S., Andrieu C. On sequential Monte Carlo sampling methods for Bayesian filtering. Statistics and Computing 2000, 10(3):197-208.
-
(2000)
Statistics and Computing
, vol.10
, Issue.3
, pp. 197-208
-
-
Doucet, A.1
Godsill, S.2
Andrieu, C.3
-
81
-
-
0000854197
-
Learning the structure of dynamic probabilistic networks
-
Morgan Kaufmann Publishers Inc, G.F. Cooper, S. Moral (Eds.)
-
Friedman N., Murphy K., Russell S. Learning the structure of dynamic probabilistic networks. Proceedings of the 14th conference on uncertainty in artificial intelligence 1998, 139-147. Morgan Kaufmann Publishers Inc. G.F. Cooper, S. Moral (Eds.).
-
(1998)
Proceedings of the 14th conference on uncertainty in artificial intelligence
, pp. 139-147
-
-
Friedman, N.1
Murphy, K.2
Russell, S.3
-
82
-
-
34249761849
-
Learning Bayesian networks: the combination of knowledge and statistical data
-
ISSN 0885-6125
-
Heckerman D., Chickering D.M. Learning Bayesian networks: the combination of knowledge and statistical data. Machine Learning 1995, 20(3):197-243. ISSN 0885-6125.
-
(1995)
Machine Learning
, vol.20
, Issue.3
, pp. 197-243
-
-
Heckerman, D.1
Chickering, D.M.2
-
83
-
-
0000353178
-
A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains
-
ISSN 00034851
-
Baum L.E., Petrie T., Soules G., Weiss N. A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains. The Annals of Mathematical Statistics 1970, 41(1):164-171. ISSN 00034851.
-
(1970)
The Annals of Mathematical Statistics
, vol.41
, Issue.1
, pp. 164-171
-
-
Baum, L.E.1
Petrie, T.2
Soules, G.3
Weiss, N.4
-
85
-
-
0027580559
-
Novel approach to nonlinear/non-Gaussian Bayesian state estimation
-
Gordon N., Salmond D., Smith A. Novel approach to nonlinear/non-Gaussian Bayesian state estimation. Radar and signal processing, IEE proceedings F, vol. 140, IET 1993, 107-113.
-
(1993)
Radar and signal processing, IEE proceedings F, vol. 140, IET
, pp. 107-113
-
-
Gordon, N.1
Salmond, D.2
Smith, A.3
-
88
-
-
0032123212
-
Dynamic decision analysis in medicine: a data-driven approach
-
Cao C., Leong T., Leong A., Seow F. Dynamic decision analysis in medicine: a data-driven approach. International Journal of Medical Informatics 1998, 51(1):13-28.
-
(1998)
International Journal of Medical Informatics
, vol.51
, Issue.1
, pp. 13-28
-
-
Cao, C.1
Leong, T.2
Leong, A.3
Seow, F.4
-
90
-
-
40049091917
-
A generic qualitative characterization of independence of causal influence
-
ISSN 0888-613X, special Section: Perception Based Data Mining and Decision Support Systems
-
van Gerven M., Lucas P., van der Weide T. A generic qualitative characterization of independence of causal influence. International Journal of Approximate Reasoning 2008, 48(1):214-236. ISSN 0888-613X, special Section: Perception Based Data Mining and Decision Support Systems.
-
(2008)
International Journal of Approximate Reasoning
, vol.48
, Issue.1
, pp. 214-236
-
-
van Gerven, M.1
Lucas, P.2
van der Weide, T.3
-
91
-
-
26944498240
-
Using a Bayesian-network model for the analysis of clinical time-series data
-
Visscher S., Lucas P., Schurink K., Bonten M. Using a Bayesian-network model for the analysis of clinical time-series data. Proceedings of the 10th conference on artificial intelligence in medicine, AIME05 2005, 48-52.
-
(2005)
Proceedings of the 10th conference on artificial intelligence in medicine, AIME05
, pp. 48-52
-
-
Visscher, S.1
Lucas, P.2
Schurink, K.3
Bonten, M.4
-
92
-
-
0036109175
-
Probabilities for a probabilistic network: a case study in oesophageal cancer
-
ISSN 0933-3657
-
van der Gaag L., Renooij S., Witteman C., Aleman B., Taal B. Probabilities for a probabilistic network: a case study in oesophageal cancer. Artificial Intelligence in Medicine 2002, 25(2):123-148. ISSN 0933-3657.
-
(2002)
Artificial Intelligence in Medicine
, vol.25
, Issue.2
, pp. 123-148
-
-
van der Gaag, L.1
Renooij, S.2
Witteman, C.3
Aleman, B.4
Taal, B.5
-
93
-
-
0003114481
-
How to elicit many probabilities
-
Morgan Kaufmann Publishers, K.B. Laskey, H. Prade (Eds.)
-
van der Gaag L., Renooij S., Witteman C., Aleman B., Taal B. How to elicit many probabilities. Proceedings of the 15th conference on uncertainty in artificial intelligence 1999, 647-654. Morgan Kaufmann Publishers. K.B. Laskey, H. Prade (Eds.).
-
(1999)
Proceedings of the 15th conference on uncertainty in artificial intelligence
, pp. 647-654
-
-
van der Gaag, L.1
Renooij, S.2
Witteman, C.3
Aleman, B.4
Taal, B.5
-
94
-
-
84855934613
-
Bayesian tracking of intracranial pressure signal morphology
-
ISSN 0933-3657
-
Scalzo F., Asgari S., Kim S., Bergsneider M., Hu X. Bayesian tracking of intracranial pressure signal morphology. Artificial Intelligence in Medicine 2012, 54(2):115-123. ISSN 0933-3657.
-
(2012)
Artificial Intelligence in Medicine
, vol.54
, Issue.2
, pp. 115-123
-
-
Scalzo, F.1
Asgari, S.2
Kim, S.3
Bergsneider, M.4
Hu, X.5
-
95
-
-
0026751637
-
Toward normative expert systems. Part II: Probability-based representations for efficient knowledge acquisition and inference
-
Heckerman D., Nathwani B. Toward normative expert systems. Part II: Probability-based representations for efficient knowledge acquisition and inference. Methods of Information in Medicine 1992, 31(2):106-116.
-
(1992)
Methods of Information in Medicine
, vol.31
, Issue.2
, pp. 106-116
-
-
Heckerman, D.1
Nathwani, B.2
-
99
-
-
80053259149
-
Gibbs sampling in factorized continuous-time Markov processes
-
D.A. McAllester, P. Myllymäki (Eds.)
-
El-Hay T., Friedman N., Kupferman R. Gibbs sampling in factorized continuous-time Markov processes. UAI 2008, proceedings of the 24th conference in uncertainty in artificial intelligence 2008, 169-178. D.A. McAllester, P. Myllymäki (Eds.).
-
(2008)
UAI 2008, proceedings of the 24th conference in uncertainty in artificial intelligence
, pp. 169-178
-
-
El-Hay, T.1
Friedman, N.2
Kupferman, R.3
-
100
-
-
2942529188
-
Continuous-time Bayesian modeling of clinical data
-
M.W. Berry, U. Dayal, C. Kamath, D.B. Skillicorn (Eds.)
-
Sandilya S., Rao R.B. Continuous-time Bayesian modeling of clinical data. Proceedings of the 4th SIAM international conference on data mining (SDM) 2004, 22-24. M.W. Berry, U. Dayal, C. Kamath, D.B. Skillicorn (Eds.).
-
(2004)
Proceedings of the 4th SIAM international conference on data mining (SDM)
, pp. 22-24
-
-
Sandilya, S.1
Rao, R.B.2
-
101
-
-
0001247275
-
Propagating uncertainty in Bayesian networks by probabilistic logic sampling
-
Elsevier Science, Amsterdam, NL, J.F. Lemmer, L.N. Kanal (Eds.)
-
Henrion M. Propagating uncertainty in Bayesian networks by probabilistic logic sampling. Annual conference on uncertainty in artificial intelligence (UAI-86) 1986, 149-163. Elsevier Science, Amsterdam, NL. J.F. Lemmer, L.N. Kanal (Eds.).
-
(1986)
Annual conference on uncertainty in artificial intelligence (UAI-86)
, pp. 149-163
-
-
Henrion, M.1
-
102
-
-
0028419019
-
Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains
-
Gauvain J., Lee C. Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains. IEEE Transactions on Speech and Audio Processing 1994, 2(2):291-298.
-
(1994)
IEEE Transactions on Speech and Audio Processing
, vol.2
, Issue.2
, pp. 291-298
-
-
Gauvain, J.1
Lee, C.2
-
103
-
-
36448947226
-
A Bayesian semiparametric latent variable model for mixed responses
-
Fahrmeir L., Raach A. A Bayesian semiparametric latent variable model for mixed responses. Psychometrika 2007, 72(3):327-346.
-
(2007)
Psychometrika
, vol.72
, Issue.3
, pp. 327-346
-
-
Fahrmeir, L.1
Raach, A.2
-
104
-
-
0033233728
-
Statistical estimation in varying coefficient models
-
Fan J., Zhang W. Statistical estimation in varying coefficient models. The Annals of Statistics 1999, 27(5):1491-1518.
-
(1999)
The Annals of Statistics
, vol.27
, Issue.5
, pp. 1491-1518
-
-
Fan, J.1
Zhang, W.2
-
106
-
-
0035277501
-
Stochastic root finding via retrospective approximation
-
ISSN 0740-817X
-
Chen H., Schmeiser B. Stochastic root finding via retrospective approximation. IIE Transactions 2001, 33(3):259-275. ISSN 0740-817X.
-
(2001)
IIE Transactions
, vol.33
, Issue.3
, pp. 259-275
-
-
Chen, H.1
Schmeiser, B.2
-
107
-
-
0004201033
-
-
Chapman & Hall, Imperial College, University of London, UK, ISBN 0412599406
-
Hand D.J., Crowder M.J. Practical longitudinal data analysis, CRC texts in statistical science, 1st ed. 1996, Chapman & Hall, Imperial College, University of London, UK, ISBN 0412599406.
-
(1996)
Practical longitudinal data analysis, CRC texts in statistical science, 1st ed.
-
-
Hand, D.J.1
Crowder, M.J.2
-
108
-
-
84863304598
-
-
R Development Core Team, R Foundation for Statistical Computing, Vienna, Austria
-
R Development Core Team R: a language and environment for statistical computing 2005, R Foundation for Statistical Computing, Vienna, Austria.
-
(2005)
R: a language and environment for statistical computing
-
-
-
109
-
-
67650499257
-
Intelligent interactive visual exploration of temporal associations among multiple time-oriented patient records
-
Klimov D., Shahar Y., Taieb-Maimon M. Intelligent interactive visual exploration of temporal associations among multiple time-oriented patient records. Methods of Information in Medicine 2009, 48(3):254-262.
-
(2009)
Methods of Information in Medicine
, vol.48
, Issue.3
, pp. 254-262
-
-
Klimov, D.1
Shahar, Y.2
Taieb-Maimon, M.3
-
111
-
-
70350557390
-
Mining frequent arrangements of temporal intervals
-
Papapetrou P., Kollios G., Sclaroff S., Gunopulos D. Mining frequent arrangements of temporal intervals. Knowledge and Information Systems 2009, 21(2):133-171.
-
(2009)
Knowledge and Information Systems
, vol.21
, Issue.2
, pp. 133-171
-
-
Papapetrou, P.1
Kollios, G.2
Sclaroff, S.3
Gunopulos, D.4
-
112
-
-
34250202878
-
ARMADA - an algorithm for discovering richer relative temporal association rules from interval-based data
-
Winarko E., Roddick J.F. ARMADA - an algorithm for discovering richer relative temporal association rules from interval-based data. Data & Knowledge Engineering 2007, 63(1).
-
(2007)
Data & Knowledge Engineering
, vol.63
, Issue.1
-
-
Winarko, E.1
Roddick, J.F.2
-
114
-
-
80052392674
-
Robust mining of time intervals with semi-interval partial order patterns
-
Morchen F., Fradkin D. Robust mining of time intervals with semi-interval partial order patterns. SDM, SIAM 2010, 315-326.
-
(2010)
SDM, SIAM
, pp. 315-326
-
-
Morchen, F.1
Fradkin, D.2
-
115
-
-
79953787924
-
Medical temporal-knowledge discovery via temporal abstraction
-
Moskovitch R., Shahar Y. Medical temporal-knowledge discovery via temporal abstraction. AMIA 2009 2009.
-
(2009)
AMIA 2009
-
-
Moskovitch, R.1
Shahar, Y.2
|