-
3
-
-
0021466185
-
Towards a General Theory of Action and Time
-
F. Allen. Towards a General Theory of Action and Time. Artificial Intelligence, 23:123-154, 1984.
-
(1984)
Artificial Intelligence
, vol.23
, pp. 123-154
-
-
Allen, F.1
-
4
-
-
58849117525
-
Clinical Information Technologies and Inpatient Outcomes: A Multiple Hospital Study
-
R. Amarasingham, L. Plantinga, M. Diener-West, D. Gaskin, and N. Powe. Clinical Information Technologies and Inpatient Outcomes: A Multiple Hospital Study. Archives of Internal Medicine, 169(2), 2009.
-
(2009)
Archives of Internal Medicine
, vol.169
, Issue.2
-
-
Amarasingham, R.1
Plantinga, L.2
Diener-West, M.3
Gaskin, D.4
Powe, N.5
-
5
-
-
35548992696
-
Multiscale Analysis of Short Term Heart Beat Interval, Arterial Blood Pressure, and Instantaneous Lung Volume Time Series
-
L. Angelini, R. Maestri, D.Marinazzo, L. Nitti, M. Pellicoro, G. D. Pinna, S. Stramaglia, and S. Tupputi. Multiscale Analysis of Short Term Heart Beat Interval, Arterial Blood Pressure, and Instantaneous Lung Volume Time Series. Artificial Intelligence in Medicine, 41:237-250, 2009.
-
(2009)
Artificial Intelligence in Medicine
, vol.41
, pp. 237-250
-
-
Angelini, L.1
Maestri, R.2
Marinazzo, D.3
Nitti, L.4
Pellicoro, M.5
Pinna, G.D.6
Stramaglia, S.7
Tupputi, S.8
-
6
-
-
78449236594
-
Analysis of Medical Pathways by Means of Frequent Closed Sequences
-
E. Baralis, G. Bruno, S. Chiusano, V. Domenici, N. Mahoto, and C. Petrigni. Analysis of Medical Pathways by Means of Frequent Closed Sequences. Knowledge-Based and Intelligent Information and Engineering Systems, 6278:418-425, 2010.
-
(2010)
Knowledge-Based and Intelligent Information and Engineering Systems
, vol.6278
, pp. 418-425
-
-
Baralis, E.1
Bruno, G.2
Chiusano, S.3
Domenici, V.4
Mahoto, N.5
Petrigni, C.6
-
7
-
-
84866050050
-
Mining Recent Temporal Patterns for Event Detection in Multivariate Time Series Data
-
I. Batal, D. Fradkin, J. Harrison, F. Moerchen, and M. Hauskrecht. Mining Recent Temporal Patterns for Event Detection in Multivariate Time Series Data. In Proceedings of the International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2012.
-
(2012)
Proceedings of the International Conference on Knowledge Discovery and Data Mining (SIGKDD)
-
-
Batal, I.1
Fradkin, D.2
Harrison, J.3
Moerchen, F.4
Hauskrecht, M.5
-
8
-
-
84885587994
-
A Temporal Pattern Mining Approach for Classifying Electronic Health Record Data
-
I. Batal, H. Valizadegan, G. F. Cooper, and M. Hauskrecht. A Temporal Pattern Mining Approach for Classifying Electronic Health Record Data. ACM Transaction on Intelligent Systems and Technology (ACM TIST), Special Issue on Health Informatics, 2013.
-
(2013)
ACM Transaction on Intelligent Systems and Technology (ACM TIST), Special Issue on Health Informatics
-
-
Batal, I.1
Valizadegan, H.2
Cooper, G.F.3
Hauskrecht, M.4
-
9
-
-
0031871338
-
A Bayesian Neural Network Method for Adverse Drug Reaction Signal Generation
-
A. Bate, M. Lindquist, I. R. Edwards, S. Olsson, R. Orre, A. Lansner, and R. M. de Freitas. A Bayesian Neural Network Method for Adverse Drug Reaction Signal Generation. European Journal of Clinical Pharmacology, 54(4):315-321, 1998.
-
(1998)
European Journal of Clinical Pharmacology
, vol.54
, Issue.4
, pp. 315-321
-
-
Bate, A.1
Lindquist, M.2
Edwards, I.R.3
Olsson, S.4
Orre, R.5
Lansner, A.6
de Freitas, R.M.7
-
11
-
-
84875271177
-
Artificial Intelligence Framework for Simulating Clinical Decision-Making:AMarkov Decision Process Approach
-
C. Bennett and K. Hauser. Artificial Intelligence Framework for Simulating Clinical Decision-Making:AMarkov Decision Process Approach. Artificial Intelligence in Medicine, 2013.
-
(2013)
Artificial Intelligence in Medicine
-
-
Bennett, C.1
Hauser, K.2
-
13
-
-
0017216776
-
Testing for the Consecutive Ones Property, Interval Graphs, and Graph Planarity Using PQ-Tree Algorithms
-
K. Booth and George Lueker. Testing for the Consecutive Ones Property, Interval Graphs, and Graph Planarity Using PQ-Tree Algorithms. Journal of Computer and System Sciences, 13(3):335-379, 1976.
-
(1976)
Journal of Computer and System Sciences
, vol.13
, Issue.3
, pp. 335-379
-
-
Booth, K.1
Lueker, G.2
-
15
-
-
0038931405
-
Bayesian DataMining in Large Frequency Tables with an Application to the FDA Spontaneous Reporting System
-
W. DuMouchel. Bayesian DataMining in Large Frequency Tables with an Application to the FDA Spontaneous Reporting System. The American Statistician, 53(3):177-190, 1999.
-
(1999)
The American Statistician
, vol.53
, Issue.3
, pp. 177-190
-
-
DuMouchel, W.1
-
16
-
-
20044373625
-
Independent Component Analysis of fMRI Group Studies by Self-Organizing Clustering
-
F. Esposito, T. Scarabino, A. Hyvarinen, J. Himberg, E. Formisano, S. Comani, G. Tedeschi, R. Goebel, E. Seifritz, and F. D. Salle. Independent Component Analysis of fMRI Group Studies by Self-Organizing Clustering. NeuroImage, 25(1):193-205, 2005.
-
(2005)
NeuroImage
, vol.25
, Issue.1
, pp. 193-205
-
-
Esposito, F.1
Scarabino, T.2
Hyvarinen, A.3
Himberg, J.4
Formisano, E.5
Comani, S.6
Tedeschi, G.7
Goebel, R.8
Seifritz, E.9
Salle, F.D.10
-
17
-
-
0035700740
-
Use of Proportional Reporting Ratios (PRRs) for Signal Generation from Spontaneous Adverse Drug Reaction Reports
-
S. J. Evans, P. C. Waller, and S. Davis. Use of Proportional Reporting Ratios (PRRs) for Signal Generation from Spontaneous Adverse Drug Reaction Reports. Pharmacoepidemiology and Drug Safety, 10(6):483-486, 2001.
-
(2001)
Pharmacoepidemiology and Drug Safety
, vol.10
, Issue.6
, pp. 483-486
-
-
Evans, S.J.1
Waller, P.C.2
Davis, S.3
-
18
-
-
33749319347
-
Interestingness Measures for Data Mining: A Survey
-
Article 9
-
L. Geng and H. J. Hamilton. Interestingness Measures for Data Mining: A Survey. ACM Computing Surveys, 38(3): Article 9, 2006.
-
(2006)
ACM Computing Surveys
, vol.38
, Issue.3
-
-
Geng, L.1
Hamilton, H.J.2
-
21
-
-
48449095979
-
Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions
-
H. Jin, J. Chen, H. He, G. J. Williams, C. Kelman, and C. M. O’Keefe. Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions. IEEE Transactions on Information Technology in Biomedicine, 12(4):488-500, 2008.
-
(2008)
IEEE Transactions on Information Technology in Biomedicine
, vol.12
, Issue.4
, pp. 488-500
-
-
Jin, H.1
Chen, J.2
He, H.3
Williams, G.J.4
Kelman, C.5
O’Keefe, C.M.6
-
22
-
-
85054633696
-
Arrhythmia Classification Using Local Holder Exponents and Support Vector Machine
-
A. Joshi, A. Rajshekhar, S. Chandran, S. Phadke, V. Jayaraman, and B. Kulkarni. Arrhythmia Classification Using Local Holder Exponents and Support Vector Machine. In Proceedings of Pattern Recognition and Machine Intelligence, 2005.
-
(2005)
Proceedings of Pattern Recognition and Machine Intelligence
-
-
Joshi, A.1
Rajshekhar, A.2
Chandran, S.3
Phadke, S.4
Jayaraman, V.5
Kulkarni, B.6
-
26
-
-
85008036580
-
Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors
-
J. Klema, L. Novakova, F. Karel, O. Stepankova, and F. Zelezny. Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 38(1):3-15, 2008.
-
(2008)
IEEE Transactions on Systems, Man, and Cybernetics, Part C
, vol.38
, Issue.1
, pp. 3-15
-
-
Klema, J.1
Novakova, L.2
Karel, F.3
Stepankova, O.4
Zelezny, F.5
-
27
-
-
81355163930
-
Mining Electronic Medical Records to Explore the Linkage between Healthcare Resource Utilization and Disease Severity in Diabetic Patients
-
N. Lee, A. Laine, J. Hu, F. Wang, J. Sun, and S. Ebadollahi. Mining Electronic Medical Records to Explore the Linkage between Healthcare Resource Utilization and Disease Severity in Diabetic Patients. In Proceedings of the First IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology, 2011.
-
(2011)
Proceedings of the First IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology
-
-
Lee, N.1
Laine, A.2
Hu, J.3
Wang, F.4
Sun, J.5
Ebadollahi, S.6
-
28
-
-
33745781710
-
A Symbolic Representation of Time Series, with Implications for Streaming Algorithms
-
J. Lin, E. J. Keogh, S. Lonardi, and B. Y. chi Chiu. A Symbolic Representation of Time Series, with Implications for Streaming Algorithms. In Proceedings of the SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2003.
-
(2003)
Proceedings of the SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery
-
-
Lin, J.1
Keogh, E.J.2
Lonardi, S.3
Chi Chiu, B.Y.4
-
29
-
-
37849185018
-
Mining Sequential Patterns from Data Streams: A Centroid Approach
-
A. Marascu and F. Masseglia. Mining Sequential Patterns from Data Streams: A Centroid Approach. Journal of Intelligent Information Systems, 27(3):291-307, 2006.
-
(2006)
Journal of Intelligent Information Systems
, vol.27
, Issue.3
, pp. 291-307
-
-
Marascu, A.1
Masseglia, F.2
-
30
-
-
16244408617
-
A Method for Detection of Alzheimer’s Disease Using ICA-enhanced EEG Measurements
-
C. Melissant, A. Ypma, E. E. Frietman, and C. J. Stam. A Method for Detection of Alzheimer’s Disease Using ICA-enhanced EEG Measurements. Artificial Intelligence in Medicine, 33(3):209-222, 2005.
-
(2005)
Artificial Intelligence in Medicine
, vol.33
, Issue.3
, pp. 209-222
-
-
Melissant, C.1
Ypma, A.2
Frietman, E.E.3
Stam, C.J.4
-
36
-
-
81355127388
-
Temporal Pattern Discovery in Longitudinal Electronic Patient Records
-
G. Norén, J. Hopstadius, A. Bate, K. Star, and I. Edwards. Temporal Pattern Discovery in Longitudinal Electronic Patient Records. DataMining and KnowledgeDiscovery, 20(3):361-387, 2010.
-
(2010)
DataMining and KnowledgeDiscovery
, vol.20
, Issue.3
, pp. 361-387
-
-
Norén, G.1
Hopstadius, J.2
Bate, A.3
Star, K.4
Edwards, I.5
-
39
-
-
80052653856
-
Experiences with Mining Temporal Event Sequences from Electronic Medical Records: Initial Successes and Some Challenges
-
D. Patnaik, P. Butler, N. Ramakrishnan, L. Parida, B. J. Keller, and D. A. Hanauer. Experiences with Mining Temporal Event Sequences from Electronic Medical Records: Initial Successes and Some Challenges. In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011.
-
(2011)
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
-
-
Patnaik, D.1
Butler, P.2
Ramakrishnan, N.3
Parida, L.4
Keller, B.J.5
Hanauer, D.A.6
-
40
-
-
0035016443
-
PrefixSpan:Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth
-
J. Pei, J. Han, B. Mortazavi-Asl, H. Pinto, Q. Chen, U. Dayal, and M. Chun Hsu. PrefixSpan:Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth. In Proceedings of the International Conference on Data Engineering (ICDE), 2001.
-
(2001)
Proceedings of the International Conference on Data Engineering (ICDE)
-
-
Pei, J.1
Han, J.2
Mortazavi-Asl, B.3
Pinto, H.4
Chen, Q.5
Dayal, U.6
Chun Hsu, M.7
-
41
-
-
33947584673
-
Constraint-based Sequential PatternMining: The Pattern-growth Methods
-
J. Pei, J. Han, and W.Wang. Constraint-based Sequential PatternMining: The Pattern-growth Methods. Journal of Intelligent Information Systems, 28:133-160, 2007.
-
(2007)
Journal of Intelligent Information Systems
, vol.28
, pp. 133-160
-
-
Pei, J.1
Han, J.2
Wang, W.3
-
43
-
-
0031069719
-
A Framework for Knowledge-Based Temporal Abstraction
-
Y. Shahar. A Framework for Knowledge-Based Temporal Abstraction. Artificial Intelligence, 90:79-133, 1997.
-
(1997)
Artificial Intelligence
, vol.90
, pp. 79-133
-
-
Shahar, Y.1
-
47
-
-
33845455091
-
Temporal Abstraction in Intelligent Clinical Data Analysis: A Survey
-
M. Stacey and C. McGregor. Temporal Abstraction in Intelligent Clinical Data Analysis: A Survey. Artificial Intelligence in Medicine, 39(1):1-24, 2007.
-
(2007)
Artificial Intelligence in Medicine
, vol.39
, Issue.1
, pp. 1-24
-
-
Stacey, M.1
McGregor, C.2
-
48
-
-
84871542589
-
Signal Detection and Monitoring Based on Longitudinal Healthcare Data
-
M. Suling and I. Pigeot. Signal Detection and Monitoring Based on Longitudinal Healthcare Data. Pharmaceutics, 4(4):607-640, 2012.
-
(2012)
Pharmaceutics
, vol.4
, Issue.4
, pp. 607-640
-
-
Suling, M.1
Pigeot, I.2
-
50
-
-
54049104046
-
Maximum Entropy Based Significance of Itemsets
-
N. Tatti. Maximum Entropy Based Significance of Itemsets. Knowledge and Information Systems, 17(1):57-77, 2008.
-
(2008)
Knowledge and Information Systems
, vol.17
, Issue.1
, pp. 57-77
-
-
Tatti, N.1
-
51
-
-
0036210975
-
A Comparison of Measures of Disproportionality for Signal Detection in Spontaneous Reporting Systems for Adverse Drug Reactions
-
E. P. van Puijenbroek, A. Bate, H. G. Leufkens, M. Lindquist, R. Orre, and A. C. Egberts. A Comparison of Measures of Disproportionality for Signal Detection in Spontaneous Reporting Systems for Adverse Drug Reactions. Pharmacoepidemiology and Drug Safety, 11(1):3-10, 2002.
-
(2002)
Pharmacoepidemiology and Drug Safety
, vol.11
, Issue.1
, pp. 3-10
-
-
van Puijenbroek, E.P.1
Bate, A.2
Leufkens, H.G.3
Lindquist, M.4
Orre, R.5
Egberts, A.C.6
-
52
-
-
84866045813
-
Towards Heterogeneous Temporal Clinical Event Pattern Discovery: A Convolutional Approach
-
F. Wang, N. Lee, J. Hu, J. Sun, and S. Ebadollahi. Towards Heterogeneous Temporal Clinical Event Pattern Discovery: A Convolutional Approach. In Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012.
-
(2012)
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
-
-
Wang, F.1
Lee, N.2
Hu, J.3
Sun, J.4
Ebadollahi, S.5
-
53
-
-
0038392539
-
Heparin-Induced Thrombocytopenia: Pathogenesis and Management
-
T. Warkentin. Heparin-Induced Thrombocytopenia: Pathogenesis and Management. British Journal of Haematology, 121:535-555, 2000.
-
(2000)
British Journal of Haematology
, vol.121
, pp. 535-555
-
-
Warkentin, T.1
-
54
-
-
34250202878
-
ARMADA-An Algorithm for Discovering Richer Relative Temporal Association Rules from Interval-based Data
-
E. Winarko and J. F. Roddick. ARMADA-An Algorithm for Discovering Richer Relative Temporal Association Rules from Interval-based Data. Data and Knowledge Engineering, 63:76-90, 2007.
-
(2007)
Data and Knowledge Engineering
, vol.63
, pp. 76-90
-
-
Winarko, E.1
Roddick, J.F.2
-
57
-
-
0034826102
-
SPADE: An Efficient AlgorithmforMining Frequent Sequences
-
M. J. Zaki. SPADE: An Efficient AlgorithmforMining Frequent Sequences. Machine Learning, 42:31-60, 2001.
-
(2001)
Machine Learning
, vol.42
, pp. 31-60
-
-
Zaki, M.J.1
-
58
-
-
84863351725
-
Predicting Future Clinical Changes of MCI Patients Using Longitudinal and Multimodal Biomarkers
-
D. Zhang and D. Shen. Predicting Future Clinical Changes of MCI Patients Using Longitudinal and Multimodal Biomarkers. PLoS One, 7, 2012.
-
(2012)
PLoS One
, vol.7
-
-
Zhang, D.1
Shen, D.2
|