-
3
-
-
0035066569
-
Predicting patient's long-term clinical status after hip arthroplasty using hierarchical decision modelling and data mining
-
Zupan B., Demsar J., Smrke D., Bozikov K., Stankovski V., Bratko I., and Beck J.R. Predicting patient's long-term clinical status after hip arthroplasty using hierarchical decision modelling and data mining. Meth. Inf. Med. 40 (2001) 25-31
-
(2001)
Meth. Inf. Med.
, vol.40
, pp. 25-31
-
-
Zupan, B.1
Demsar, J.2
Smrke, D.3
Bozikov, K.4
Stankovski, V.5
Bratko, I.6
Beck, J.R.7
-
4
-
-
32344434216
-
Orange: from experimental machine learning to interactive data mining
-
Springer Verlag, Pisa, Italy 537-539
-
Demsar J., Zupan B., Leban G., and Curk T. Orange: from experimental machine learning to interactive data mining. European Conference of Machine Learning (2004), Springer Verlag, Pisa, Italy 537-539
-
(2004)
European Conference of Machine Learning
-
-
Demsar, J.1
Zupan, B.2
Leban, G.3
Curk, T.4
-
5
-
-
0027682531
-
Inductive and Bayesian learning in medical diagnosis
-
Kononenko I. Inductive and Bayesian learning in medical diagnosis. Appl. Artif. Intelligen. 7 (1993) 317-337
-
(1993)
Appl. Artif. Intelligen.
, vol.7
, pp. 317-337
-
-
Kononenko, I.1
-
6
-
-
0018179241
-
A practical device for the application of a diagnostic or prognostic function
-
Lubsen J., Pool J., and van der Does E. A practical device for the application of a diagnostic or prognostic function. Meth. Inf. Med. 17 (1978) 127-129
-
(1978)
Meth. Inf. Med.
, vol.17
, pp. 127-129
-
-
Lubsen, J.1
Pool, J.2
van der Does, E.3
-
7
-
-
33750710231
-
Nomograms for visualization of naive bayesian classifier
-
Pisa, Italy
-
Mozina M., Demsar J., Kattan M.W., and Zupan B. Nomograms for visualization of naive bayesian classifier. Proceedings of the Principles Practice of Knowledge Discovery in Databases (PKDD-04). Pisa, Italy (2004) 337-348
-
(2004)
Proceedings of the Principles Practice of Knowledge Discovery in Databases (PKDD-04)
, pp. 337-348
-
-
Mozina, M.1
Demsar, J.2
Kattan, M.W.3
Zupan, B.4
-
9
-
-
0032550753
-
A preoperative nomogram for disease recurrence following radical prostatectomy for prostate cancer
-
Kattan M.W., Eastham J.A., Stapleton A.M., Wheeler T.M., and Scardino P.T. A preoperative nomogram for disease recurrence following radical prostatectomy for prostate cancer. J. Natl. Cancer Inst. 90 (1998) 766-771
-
(1998)
J. Natl. Cancer Inst.
, vol.90
, pp. 766-771
-
-
Kattan, M.W.1
Eastham, J.A.2
Stapleton, A.M.3
Wheeler, T.M.4
Scardino, P.T.5
-
10
-
-
0036682051
-
International validation of a preoperative nomogram for prostate cancer recurrence after radical prostatectomy
-
Graefen M., Karakiewicz P.I., Cagiannos I., Quinn D.I., Henshall S.M., Grygiel J.J., Sutherland R.L., Stricker P.D., et al. International validation of a preoperative nomogram for prostate cancer recurrence after radical prostatectomy. J. Clin. Oncol. 20 (2002) 3206-3212
-
(2002)
J. Clin. Oncol.
, vol.20
, pp. 3206-3212
-
-
Graefen, M.1
Karakiewicz, P.I.2
Cagiannos, I.3
Quinn, D.I.4
Henshall, S.M.5
Grygiel, J.J.6
Sutherland, R.L.7
Stricker, P.D.8
-
13
-
-
34249966007
-
The CN2 Induction Algorithm
-
Clark P., and Niblett T. The CN2 Induction Algorithm. Mach. Learn. 3 (1989) 261-283
-
(1989)
Mach. Learn.
, vol.3
, pp. 261-283
-
-
Clark, P.1
Niblett, T.2
-
14
-
-
84867754892
-
Learning patterns in noisy data: the AQ approach
-
Paliouras G., Karkaletsis V., and Spyropoulos C. (Eds), Springer-Verlag, Berlin
-
Michalski R.S., and Kaufman K. Learning patterns in noisy data: the AQ approach. In: Paliouras G., Karkaletsis V., and Spyropoulos C. (Eds). Machine Learning and its Applications (2001), Springer-Verlag, Berlin 22-38
-
(2001)
Machine Learning and its Applications
, pp. 22-38
-
-
Michalski, R.S.1
Kaufman, K.2
-
15
-
-
0032255089
-
Intelligent data analysis for medical diagnosis: using machine learning and temporal abstraction
-
Lavrac N., Kononenko I., Keravnou E., Kukar M., and Zupan B. Intelligent data analysis for medical diagnosis: using machine learning and temporal abstraction. AI Commun. 11 (1998) 191-218
-
(1998)
AI Commun.
, vol.11
, pp. 191-218
-
-
Lavrac, N.1
Kononenko, I.2
Keravnou, E.3
Kukar, M.4
Zupan, B.5
-
17
-
-
0003684449
-
-
Springer, New York
-
Hastie T., Tibshirani R., and Friedman J.H. The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2001), Springer, New York
-
(2001)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.H.3
-
18
-
-
0034728368
-
On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology
-
Schwarzer G., Vach W., and Schumacher M. On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology. Stat. Med. 19 (2000) 541-561
-
(2000)
Stat. Med.
, vol.19
, pp. 541-561
-
-
Schwarzer, G.1
Vach, W.2
Schumacher, M.3
-
19
-
-
0003798635
-
-
Cambridge University Press, Cambridge, UK, New York
-
Cristianini N., and Shawe-Taylor J. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods (2000), Cambridge University Press, Cambridge, UK, New York
-
(2000)
An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
-
-
Cristianini, N.1
Shawe-Taylor, J.2
-
21
-
-
34249753618
-
Support-vectors networks
-
Cortes C., and Vapnik V. Support-vectors networks. Mach. Learn. 20 (1995) 273-297
-
(1995)
Mach. Learn.
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
22
-
-
0034922742
-
Machine learning for medical diagnosis: history, state of the art and perspective
-
Kononenko I. Machine learning for medical diagnosis: history, state of the art and perspective. Artif. Intell. Med. 23 (2001) 89-109
-
(2001)
Artif. Intell. Med.
, vol.23
, pp. 89-109
-
-
Kononenko, I.1
-
24
-
-
0029313105
-
Clinical applications of Bayesian belief networks in pathology
-
Hamilton P.W., Montironi R., Abmayr W., Bibbo M., Anderson N., Thompson D., and Bartels P.H. Clinical applications of Bayesian belief networks in pathology. Pathologica 87 (1995) 237-245
-
(1995)
Pathologica
, vol.87
, pp. 237-245
-
-
Hamilton, P.W.1
Montironi, R.2
Abmayr, W.3
Bibbo, M.4
Anderson, N.5
Thompson, D.6
Bartels, P.H.7
-
25
-
-
0036268214
-
NasoNet, modeling the spread of nasopharyngeal cancer with networks of probabilistic events in discrete time
-
Galan S.F., Aguado F., Diez F.J., and Mira J. NasoNet, modeling the spread of nasopharyngeal cancer with networks of probabilistic events in discrete time. Artif. Intell. Med. 25 (2002) 247-264
-
(2002)
Artif. Intell. Med.
, vol.25
, pp. 247-264
-
-
Galan, S.F.1
Aguado, F.2
Diez, F.J.3
Mira, J.4
-
26
-
-
0142197164
-
The role of Bayesian Networks in the diagnosis of pulmonary embolism
-
Luciani D., Marchesi M., and Bertolini G. The role of Bayesian Networks in the diagnosis of pulmonary embolism. J. Thromb. Haemost. 1 (2003) 698-707
-
(2003)
J. Thromb. Haemost.
, vol.1
, pp. 698-707
-
-
Luciani, D.1
Marchesi, M.2
Bertolini, G.3
-
27
-
-
84986980101
-
Sequential updating of conditional probabilities on directed graphical structures
-
Spiegelhalter D.J., and Lauritzen S.L. Sequential updating of conditional probabilities on directed graphical structures. Networks 20 (1990) 579-605
-
(1990)
Networks
, vol.20
, pp. 579-605
-
-
Spiegelhalter, D.J.1
Lauritzen, S.L.2
-
28
-
-
0030124955
-
A guide to the literature on learning probabilistic networks from data
-
Buntine W.L. A guide to the literature on learning probabilistic networks from data. IEEE Trans. Know. Data Eng. 8 (1996) 195-210
-
(1996)
IEEE Trans. Know. Data Eng.
, vol.8
, pp. 195-210
-
-
Buntine, W.L.1
-
29
-
-
34249832377
-
A Bayesian method for the induction of probabilistic networks from data
-
Cooper G.F., and Herskovits E. A Bayesian method for the induction of probabilistic networks from data. Mach. Learn. 9 (1992) 309-347
-
(1992)
Mach. Learn.
, vol.9
, pp. 309-347
-
-
Cooper, G.F.1
Herskovits, E.2
-
30
-
-
0043198674
-
Robust learning with missing data
-
Ramoni M., and Sebastiani P. Robust learning with missing data. Mach. Learn. 45 (2001) 147-170
-
(2001)
Mach. Learn.
, vol.45
, pp. 147-170
-
-
Ramoni, M.1
Sebastiani, P.2
-
31
-
-
0042925736
-
Application of a data-mining method based on Bayesian networks to lesion-deficit analysis
-
Herskovits E.H., and Gerring J.P. Application of a data-mining method based on Bayesian networks to lesion-deficit analysis. Neuroimage 19 (2003) 1664-1673
-
(2003)
Neuroimage
, vol.19
, pp. 1664-1673
-
-
Herskovits, E.H.1
Gerring, J.P.2
-
32
-
-
16844366938
-
Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia
-
Sebastiani P., Ramoni M.F., Nolan V., Baldwin C.T., and Steinberg M.H. Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia. Nat. Genet. 37 (2005) 435-440
-
(2005)
Nat. Genet.
, vol.37
, pp. 435-440
-
-
Sebastiani, P.1
Ramoni, M.F.2
Nolan, V.3
Baldwin, C.T.4
Steinberg, M.H.5
-
33
-
-
0000034390
-
Learning Gaussian networks
-
de Mantaras R.L., and Poole D. (Eds), Morgan Kaufmann, San Francisco, CA/Seattle, WA
-
Geiger D., and Hackerman D. Learning Gaussian networks. In: de Mantaras R.L., and Poole D. (Eds). Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (1994), Morgan Kaufmann, San Francisco, CA/Seattle, WA 235-243
-
(1994)
Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence
, pp. 235-243
-
-
Geiger, D.1
Hackerman, D.2
-
34
-
-
84929843809
-
P J M. Learning Bayesian networks by genetic algorithms: a case study in the prediction of survival in malignant skin melanoma
-
Keravnou E., Garbay C., Baud R., and Wyatt C.J. (Eds), Grenoble, France
-
Larrañaga P., Sierra B., Gallego M.Y., and Michelena M.J. P J M. Learning Bayesian networks by genetic algorithms: a case study in the prediction of survival in malignant skin melanoma. In: Keravnou E., Garbay C., Baud R., and Wyatt C.J. (Eds). Artificial Intelligence in Medicine Europe (1997), Grenoble, France 261-272
-
(1997)
Artificial Intelligence in Medicine Europe
, pp. 261-272
-
-
Larrañaga, P.1
Sierra, B.2
Gallego, M.Y.3
Michelena, M.J.4
-
35
-
-
10044240790
-
Using prior knowledge to improve genetic network reconstruction from microarray data
-
Le Phillip P., Bahl A., and Ungar L.H. Using prior knowledge to improve genetic network reconstruction from microarray data. In. Silico. Biol. 4 (2004) 335-353
-
(2004)
In. Silico. Biol.
, vol.4
, pp. 335-353
-
-
Le Phillip, P.1
Bahl, A.2
Ungar, L.H.3
-
36
-
-
0004042547
-
-
Chapman P., Clinton J., Kerber R., Khabaza T., Reinartz T., Shearer C., and Wirth R. CRISP-DM 1. 0: Step-by-Step Data Mining Guide: The CRISP-DM Consortium (2000)
-
(2000)
CRISP-DM 1. 0: Step-by-Step Data Mining Guide: The CRISP-DM Consortium
-
-
Chapman, P.1
Clinton, J.2
Kerber, R.3
Khabaza, T.4
Reinartz, T.5
Shearer, C.6
Wirth, R.7
-
37
-
-
0011302023
-
Anatomic pathology data mining
-
Cios K.J. (Ed), Springer-Verlag, Berlin/Heidelberg
-
Moore G.W., and Berman J.J. Anatomic pathology data mining. In: Cios K.J. (Ed). Medical Data Mining and Knowledge Discovery (2001), Springer-Verlag, Berlin/Heidelberg 61-108
-
(2001)
Medical Data Mining and Knowledge Discovery
, pp. 61-108
-
-
Moore, G.W.1
Berman, J.J.2
-
38
-
-
77952768838
-
Supporting discovery in medicine by association rule mining in Medline and UMLS
-
Hristovski D., Stare J., Peterlin B., and Dzeroski S. Supporting discovery in medicine by association rule mining in Medline and UMLS. Medinfo 10 (2001) 1344-1348
-
(2001)
Medinfo
, vol.10
, pp. 1344-1348
-
-
Hristovski, D.1
Stare, J.2
Peterlin, B.3
Dzeroski, S.4
-
39
-
-
0035752429
-
Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program
-
Aronson A.R. Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program. Proc. AMIA Symp. (2001) 17-21
-
(2001)
Proc. AMIA Symp.
, pp. 17-21
-
-
Aronson, A.R.1
-
40
-
-
0032367976
-
Data mining: statistics and more?
-
Hand D.J. Data mining: statistics and more?. Am. Statist. 52 (1998) 112-118
-
(1998)
Am. Statist.
, vol.52
, pp. 112-118
-
-
Hand, D.J.1
-
41
-
-
0003987805
-
-
MIT Press, Cambridge, Mass
-
Hand D.J., Mannila H., and Smyth P. Principles of Data Mining (2001), MIT Press, Cambridge, Mass
-
(2001)
Principles of Data Mining
-
-
Hand, D.J.1
Mannila, H.2
Smyth, P.3
-
43
-
-
0242370859
-
Attribute interactions in medical data analysis
-
Dojad M., Keravnou E., and Barahona P. (Eds). Protaras, Cyprus: Springer
-
Jakulin A., Bratko I., Smrke D., Demsar J., and Zupan B. Attribute interactions in medical data analysis. In: Dojad M., Keravnou E., and Barahona P. (Eds). Proceedings of the Ninth Conference on Artificial Intelligence in Medicine in Europe (AIME 2003). Protaras, Cyprus: Springer (2003) 229-238
-
(2003)
Proceedings of the Ninth Conference on Artificial Intelligence in Medicine in Europe (AIME 2003)
, pp. 229-238
-
-
Jakulin, A.1
Bratko, I.2
Smrke, D.3
Demsar, J.4
Zupan, B.5
-
45
-
-
19544394460
-
Ovarian cancer identification based on dimensionality reduction for high-throughput mass spectrometry data
-
Yu J.S., Ongarello S., Fiedler R., Chen X.W., Toffolo G., Cobelli C., and Trajanoski Z. Ovarian cancer identification based on dimensionality reduction for high-throughput mass spectrometry data. Bioinformatics 21 (2005) 2200-2209
-
(2005)
Bioinformatics
, vol.21
, pp. 2200-2209
-
-
Yu, J.S.1
Ongarello, S.2
Fiedler, R.3
Chen, X.W.4
Toffolo, G.5
Cobelli, C.6
Trajanoski, Z.7
-
46
-
-
33751421552
-
Data integration and genomic medicine
-
Louie B., Mork P., Martin-Sanchez F., Halevy A., and Tarczy-Hornoch P. Data integration and genomic medicine. J. Biomed. Inform. 40 (2007) 5-16
-
(2007)
J. Biomed. Inform.
, vol.40
, pp. 5-16
-
-
Louie, B.1
Mork, P.2
Martin-Sanchez, F.3
Halevy, A.4
Tarczy-Hornoch, P.5
-
47
-
-
33646260685
-
Using molecular information to guide brain tumor therapy
-
Mischel P.S., and Cloughesy T. Using molecular information to guide brain tumor therapy. Nat. Clin. Pract. Neurol. 2 (2006) 232-233
-
(2006)
Nat. Clin. Pract. Neurol.
, vol.2
, pp. 232-233
-
-
Mischel, P.S.1
Cloughesy, T.2
-
48
-
-
0033569406
-
Molecular classification of cancer: class discovery and class prediction by gene expression monitoring
-
Golub T.R., Slonim D.K., Tamayo P., Huard C., Gaasenbeek M., Mesirov J.P., Coller H., Loh M.L., et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286 (1999) 531-537
-
(1999)
Science
, vol.286
, pp. 531-537
-
-
Golub, T.R.1
Slonim, D.K.2
Tamayo, P.3
Huard, C.4
Gaasenbeek, M.5
Mesirov, J.P.6
Coller, H.7
Loh, M.L.8
-
49
-
-
18244409687
-
Gene expression profiling predicts clinical outcome of breast cancer
-
van't Veer L.J., Dai H., van de Vijver M.J., He Y.D., Hart A.A., Mao M., Peterse H.L., van der Kooy K., et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature 415 (2002) 530-536
-
(2002)
Nature
, vol.415
, pp. 530-536
-
-
van't Veer, L.J.1
Dai, H.2
van de Vijver, M.J.3
He, Y.D.4
Hart, A.A.5
Mao, M.6
Peterse, H.L.7
van der Kooy, K.8
-
50
-
-
0037165140
-
Prediction of central nervous system embryonal tumour outcome based on gene expression
-
Pomeroy S.L., Tamayo P., Gaasenbeek M., Sturla L.M., Angelo M., McLaughlin M.E., Kim J.Y., Goumnerova L.C., et al. Prediction of central nervous system embryonal tumour outcome based on gene expression. Nature 415 (2002) 436-442
-
(2002)
Nature
, vol.415
, pp. 436-442
-
-
Pomeroy, S.L.1
Tamayo, P.2
Gaasenbeek, M.3
Sturla, L.M.4
Angelo, M.5
McLaughlin, M.E.6
Kim, J.Y.7
Goumnerova, L.C.8
-
51
-
-
18244409933
-
Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning
-
Shipp M.A., Ross K.N., Tamayo P., Weng A.P., Kutok J.L., Aguiar R.C., Gaasenbeek M., Angelo M., et al. Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning. Nat. Med. 8 (2002) 68-74
-
(2002)
Nat. Med.
, vol.8
, pp. 68-74
-
-
Shipp, M.A.1
Ross, K.N.2
Tamayo, P.3
Weng, A.P.4
Kutok, J.L.5
Aguiar, R.C.6
Gaasenbeek, M.7
Angelo, M.8
-
52
-
-
0141994853
-
Towards integrated clinico-genomic models for personalized medicine: combining gene expression signatures and clinical factors in breast cancer outcomes prediction
-
12 Spec No 2:
-
Nevins J.R., Huang E.S., Dressman H., Pittman J., Huang A.T., and West M. Towards integrated clinico-genomic models for personalized medicine: combining gene expression signatures and clinical factors in breast cancer outcomes prediction. Hum. Mol. Genet. (2003) R153-R157 12 Spec No 2:
-
(2003)
Hum. Mol. Genet.
-
-
Nevins, J.R.1
Huang, E.S.2
Dressman, H.3
Pittman, J.4
Huang, A.T.5
West, M.6
-
54
-
-
1842509921
-
Combining gene expression profiles and clinical parameters for risk stratification in medulloblastomas
-
Fernandez-Teijeiro A., Betensky R.A., Sturla L.M., Kim J.Y., Tamayo P., and Pomeroy S.L. Combining gene expression profiles and clinical parameters for risk stratification in medulloblastomas. J. Clin. Oncol. 22 (2004) 994-998
-
(2004)
J. Clin. Oncol.
, vol.22
, pp. 994-998
-
-
Fernandez-Teijeiro, A.1
Betensky, R.A.2
Sturla, L.M.3
Kim, J.Y.4
Tamayo, P.5
Pomeroy, S.L.6
-
55
-
-
28344454000
-
Molecular classification and molecular forecasting of breast cancer: ready for clinical application?
-
Brenton J.D., Carey L.A., Ahmed A.A., and Caldas C. Molecular classification and molecular forecasting of breast cancer: ready for clinical application?. J. Clin. Oncol. 23 (2005) 7350-7360
-
(2005)
J. Clin. Oncol.
, vol.23
, pp. 7350-7360
-
-
Brenton, J.D.1
Carey, L.A.2
Ahmed, A.A.3
Caldas, C.4
-
56
-
-
33646856024
-
Avoiding model selection bias in small-sample genomic datasets
-
Berrar D., Bradbury I., and Dubitzky W. Avoiding model selection bias in small-sample genomic datasets. Bioinformatics 22 (2006) 1245-1250
-
(2006)
Bioinformatics
, vol.22
, pp. 1245-1250
-
-
Berrar, D.1
Bradbury, I.2
Dubitzky, W.3
-
57
-
-
0037245343
-
Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification
-
Simon R., Radmacher M.D., Dobbin K., and McShane L.M. Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification. J. Natl. Cancer Inst. 95 (2003) 14-18
-
(2003)
J. Natl. Cancer Inst.
, vol.95
, pp. 14-18
-
-
Simon, R.1
Radmacher, M.D.2
Dobbin, K.3
McShane, L.M.4
-
58
-
-
33645825183
-
Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer
-
Ein-Dor L., Zuk O., and Domany E. Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer. Proc. Natl. Acad. Sci. U. S. A. 103 (2006) 5923-5928
-
(2006)
Proc. Natl. Acad. Sci. U. S. A.
, vol.103
, pp. 5923-5928
-
-
Ein-Dor, L.1
Zuk, O.2
Domany, E.3
-
59
-
-
33646874546
-
The molecular portraits of breast tumors are conserved across microarray platforms
-
Hu Z., Fan C., Oh D.S., Marron J.S., He X., Qaqish B.F., Livasy C., Carey L.A., et al. The molecular portraits of breast tumors are conserved across microarray platforms. BMC Genom. 7 (2006) 96
-
(2006)
BMC Genom.
, vol.7
, pp. 96
-
-
Hu, Z.1
Fan, C.2
Oh, D.S.3
Marron, J.S.4
He, X.5
Qaqish, B.F.6
Livasy, C.7
Carey, L.A.8
-
60
-
-
0036645099
-
Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men
-
Adam B.L., Qu Y., Davis J.W., Ward M.D., Clements M.A., Cazares L.H., Semmes O.J., Schellhammer P.F., et al. Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men. Cancer Res. 62 (2002) 3609-3614
-
(2002)
Cancer Res.
, vol.62
, pp. 3609-3614
-
-
Adam, B.L.1
Qu, Y.2
Davis, J.W.3
Ward, M.D.4
Clements, M.A.5
Cazares, L.H.6
Semmes, O.J.7
Schellhammer, P.F.8
-
61
-
-
0037116832
-
Use of proteomic patterns in serum to identify ovarian cancer
-
Petricoin E.F., Ardekani A.M., Hitt B.A., Levine P.J., Fusaro V.A., Steinberg S.M., Mills G.B., Simone C., et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet 359 (2002) 572-577
-
(2002)
Lancet
, vol.359
, pp. 572-577
-
-
Petricoin, E.F.1
Ardekani, A.M.2
Hitt, B.A.3
Levine, P.J.4
Fusaro, V.A.5
Steinberg, S.M.6
Mills, G.B.7
Simone, C.8
-
62
-
-
34748889490
-
A new approach for the analysis of mass spectrometry data for biomarker discovery
-
Barbarini N., Magni P., and Bellazzi R. A new approach for the analysis of mass spectrometry data for biomarker discovery. AMIA Annu Symp. Proc. (2006) 26-30
-
(2006)
AMIA Annu Symp. Proc.
, pp. 26-30
-
-
Barbarini, N.1
Magni, P.2
Bellazzi, R.3
-
63
-
-
0042923097
-
Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions
-
Somorjai R.L., Dolenko B., and Baumgartner R. Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions. Bioinformatics 19 (2003) 1484-1491
-
(2003)
Bioinformatics
, vol.19
, pp. 1484-1491
-
-
Somorjai, R.L.1
Dolenko, B.2
Baumgartner, R.3
-
64
-
-
4644283098
-
Statistical methods for analyzing tissue microarray data
-
Liu X., Minin V., Huang Y., Seligson D.B., and Horvath S. Statistical methods for analyzing tissue microarray data. J. Biopharm. Stat. 14 (2004) 671-685
-
(2004)
J. Biopharm. Stat.
, vol.14
, pp. 671-685
-
-
Liu, X.1
Minin, V.2
Huang, Y.3
Seligson, D.B.4
Horvath, S.5
-
65
-
-
33646421636
-
Defining aggressive prostate cancer using a 12-gene model
-
Bismar T.A., Demichelis F., Riva A., Kim R., Varambally S., He L., Kutok J., Aster J.C., et al. Defining aggressive prostate cancer using a 12-gene model. Neoplasia 8 (2006) 59-68
-
(2006)
Neoplasia
, vol.8
, pp. 59-68
-
-
Bismar, T.A.1
Demichelis, F.2
Riva, A.3
Kim, R.4
Varambally, S.5
He, L.6
Kutok, J.7
Aster, J.C.8
-
67
-
-
33745599582
-
A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility
-
Moore J.H., Gilbert J.C., Tsai C.T., Chiang F.T., Holden T., Barney N., and White B.C. A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility. J. Theor. Biol. 241 (2006) 252-261
-
(2006)
J. Theor. Biol.
, vol.241
, pp. 252-261
-
-
Moore, J.H.1
Gilbert, J.C.2
Tsai, C.T.3
Chiang, F.T.4
Holden, T.5
Barney, N.6
White, B.C.7
-
68
-
-
37249066631
-
Prognostic models: clinically useful or quickly forgotten?
-
Wyatt C.J., and Altman D.G. Prognostic models: clinically useful or quickly forgotten?. BMJ (1995) 311
-
(1995)
BMJ
, pp. 311
-
-
Wyatt, C.J.1
Altman, D.G.2
-
69
-
-
0034287457
-
Pretreatment nomogram for predicting the outcome of three-dimensional conformal radiotherapy in prostate cancer
-
Kattan M.W., Zelefsky M.J., Kupelian P.A., Scardino P.T., Fuks Z., and Leibel S.A. Pretreatment nomogram for predicting the outcome of three-dimensional conformal radiotherapy in prostate cancer. J. Clin. Oncol. 18 (2000) 3352-3359
-
(2000)
J. Clin. Oncol.
, vol.18
, pp. 3352-3359
-
-
Kattan, M.W.1
Zelefsky, M.J.2
Kupelian, P.A.3
Scardino, P.T.4
Fuks, Z.5
Leibel, S.A.6
-
70
-
-
84886614002
-
Computer-based consultations in clinical therapeutics: explanation and rule acquisition capabilities of the MYCIN system
-
Shortliffe E.H., Davis R., Axline S.G., Buchanan B.G., Green C.C., and Cohen S.N. Computer-based consultations in clinical therapeutics: explanation and rule acquisition capabilities of the MYCIN system. Comput. Biomed. Res. 8 (1975) 303-320
-
(1975)
Comput. Biomed. Res.
, vol.8
, pp. 303-320
-
-
Shortliffe, E.H.1
Davis, R.2
Axline, S.G.3
Buchanan, B.G.4
Green, C.C.5
Cohen, S.N.6
-
71
-
-
0020001973
-
Internist-1, an experimental computer-based diagnostic consultant for general internal medicine
-
Miller R.A., Pople Jr. H.E., and Myers J.D. Internist-1, an experimental computer-based diagnostic consultant for general internal medicine. N. Engl. J. Med. 307 (1982) 468-476
-
(1982)
N. Engl. J. Med.
, vol.307
, pp. 468-476
-
-
Miller, R.A.1
Pople Jr., H.E.2
Myers, J.D.3
-
72
-
-
0036320447
-
Predicting recovery in patients suffering from traumatic brain injury by using admission variables and physiological data: a comparison between decision tree analysis and logistic regression
-
Andrews P.J., Sleeman D.H., Statham P.F., McQuatt A., Corruble V., Jones P.A., Howells T.P., and Macmillan C.S. Predicting recovery in patients suffering from traumatic brain injury by using admission variables and physiological data: a comparison between decision tree analysis and logistic regression. J. Neurosurg. 97 (2002) 326-336
-
(2002)
J. Neurosurg.
, vol.97
, pp. 326-336
-
-
Andrews, P.J.1
Sleeman, D.H.2
Statham, P.F.3
McQuatt, A.4
Corruble, V.5
Jones, P.A.6
Howells, T.P.7
Macmillan, C.S.8
-
73
-
-
0141923683
-
A classification tree for predicting recurrent falling in community-dwelling older persons
-
Stel V.S., Pluijm S.M., Deeg D.J., Smit J.H., Bouter L.M., and Lips P. A classification tree for predicting recurrent falling in community-dwelling older persons. J. Am. Geriatr. Soc. 51 (2003) 1356-1364
-
(2003)
J. Am. Geriatr. Soc.
, vol.51
, pp. 1356-1364
-
-
Stel, V.S.1
Pluijm, S.M.2
Deeg, D.J.3
Smit, J.H.4
Bouter, L.M.5
Lips, P.6
-
74
-
-
0036062663
-
Patients with hip fracture: subgroups and their outcomes
-
Eastwood E.A., Magaziner J., Wang J., Silberzweig S.B., Hannan E.L., Strauss E., and Siu A.L. Patients with hip fracture: subgroups and their outcomes. J. Am. Geriatr. Soc. 50 (2002) 1240-1249
-
(2002)
J. Am. Geriatr. Soc.
, vol.50
, pp. 1240-1249
-
-
Eastwood, E.A.1
Magaziner, J.2
Wang, J.3
Silberzweig, S.B.4
Hannan, E.L.5
Strauss, E.6
Siu, A.L.7
-
75
-
-
0344447109
-
Predicting survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms An empirical comparison between different approaches
-
Sierra B., and Larranaga P. Predicting survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms An empirical comparison between different approaches. Artif. Intell. Med. 14 (1998) 215-230
-
(1998)
Artif. Intell. Med.
, vol.14
, pp. 215-230
-
-
Sierra, B.1
Larranaga, P.2
-
77
-
-
33745138201
-
Knowledge-based data analysis and interpretation
-
Zupan B., Holmes J.H., and Bellazzi R. Knowledge-based data analysis and interpretation. Artif. Intell. Med. 37 (2006) 163-165
-
(2006)
Artif. Intell. Med.
, vol.37
, pp. 163-165
-
-
Zupan, B.1
Holmes, J.H.2
Bellazzi, R.3
-
79
-
-
0028238937
-
An influence diagram for assessing GVHD prophylaxis after bone marrow transplantation in children
-
Quaglini S., Bellazzi R., Locatelli F., Stefanelli M., and Salvaneschi C. An influence diagram for assessing GVHD prophylaxis after bone marrow transplantation in children. Med. Decis. Mak. 14 (1994) 223-235
-
(1994)
Med. Decis. Mak.
, vol.14
, pp. 223-235
-
-
Quaglini, S.1
Bellazzi, R.2
Locatelli, F.3
Stefanelli, M.4
Salvaneschi, C.5
-
80
-
-
0035214145
-
Knowledge-based and data-driven models in arrhythmia fuzzy classification
-
Silipo R., Vergassola R., Zong W., and Berthold M.R. Knowledge-based and data-driven models in arrhythmia fuzzy classification. Meth. Inf. Med. 40 (2001) 397-402
-
(2001)
Meth. Inf. Med.
, vol.40
, pp. 397-402
-
-
Silipo, R.1
Vergassola, R.2
Zong, W.3
Berthold, M.R.4
-
82
-
-
77954143839
-
Expert knowledge and its role in learning Bayesian Networks in medicine: an appraisal
-
Quaglini S., Barahona P., and Andreassen S. (Eds), Springer, Berlin
-
Lucas P. Expert knowledge and its role in learning Bayesian Networks in medicine: an appraisal. In: Quaglini S., Barahona P., and Andreassen S. (Eds). Artificial Intelligence in Medicine (2001), Springer, Berlin 156-166
-
(2001)
Artificial Intelligence in Medicine
, pp. 156-166
-
-
Lucas, P.1
-
83
-
-
85008015613
-
Building probabilistic networks: "Where do the numbers come from?"
-
Druzdzel M.J., and van der Gaag L.C. Building probabilistic networks: "Where do the numbers come from?". IEEE Transn. Knowl. Data Eng. 12 (2000) 481-486
-
(2000)
IEEE Transn. Knowl. Data Eng.
, vol.12
, pp. 481-486
-
-
Druzdzel, M.J.1
van der Gaag, L.C.2
-
85
-
-
8844261754
-
The utility of background knowledge in inductive learning
-
Pazzani M., and Kibler D. The utility of background knowledge in inductive learning. Mach. Learn. 9 (1992) 57-94
-
(1992)
Mach. Learn.
, vol.9
, pp. 57-94
-
-
Pazzani, M.1
Kibler, D.2
-
86
-
-
0035210113
-
Acceptance of rules generated by machine learning among medical experts
-
Pazzani M.J., Mani S., and Shankle W.R. Acceptance of rules generated by machine learning among medical experts. Meth. Inf. Med. 40 (2001) 380-385
-
(2001)
Meth. Inf. Med.
, vol.40
, pp. 380-385
-
-
Pazzani, M.J.1
Mani, S.2
Shankle, W.R.3
-
88
-
-
0031381525
-
Wrappers for feature subset selection
-
Kohavi R., and John G.H. Wrappers for feature subset selection. Artif. Intell. 97 (1997) 273-324
-
(1997)
Artif. Intell.
, vol.97
, pp. 273-324
-
-
Kohavi, R.1
John, G.H.2
-
89
-
-
0343081009
-
Machine learning for survival analysis: a case study on recurrence of prostate cancer
-
Zupan B., Demsar J., Kattan M.W., Beck J.R., and Bratko I. Machine learning for survival analysis: a case study on recurrence of prostate cancer. Artif. Intell. Med. 20 (2000) 59-75
-
(2000)
Artif. Intell. Med.
, vol.20
, pp. 59-75
-
-
Zupan, B.1
Demsar, J.2
Kattan, M.W.3
Beck, J.R.4
Bratko, I.5
-
93
-
-
0022500965
-
The use of relative operating characteristic (ROC) curves in test performance evaluation
-
Beck J.R., and Shultz E.K. The use of relative operating characteristic (ROC) curves in test performance evaluation. Arch. Pathol. Lab. Med. 110 (1986) 13-20
-
(1986)
Arch. Pathol. Lab. Med.
, vol.110
, pp. 13-20
-
-
Beck, J.R.1
Shultz, E.K.2
-
94
-
-
0003010182
-
Verification of forecasts expressed in terms of probability
-
Brier G.W. Verification of forecasts expressed in terms of probability. Month. Weather Rev. 78 (1950) 1-3
-
(1950)
Month. Weather Rev.
, vol.78
, pp. 1-3
-
-
Brier, G.W.1
-
98
-
-
33645199146
-
Factors that predict outcome of intensive care treatment in very elderly patients: a review
-
de Rooij S.E., Abu-Hanna A., Levi M., and de Jonge E. Factors that predict outcome of intensive care treatment in very elderly patients: a review. Crit. Care 9 (2005) R307-R314
-
(2005)
Crit. Care
, vol.9
-
-
de Rooij, S.E.1
Abu-Hanna, A.2
Levi, M.3
de Jonge, E.4
-
99
-
-
0003749610
-
-
Springer Verlag, Heidelberg, Germany
-
Bemmel J.H.v., Musen M.A., and Helder J.C. Handbook of Medical Informatics (1997), Springer Verlag, Heidelberg, Germany
-
(1997)
Handbook of Medical Informatics
-
-
Bemmel, J.H.v.1
Musen, M.A.2
Helder, J.C.3
-
100
-
-
84888072880
-
Decisions at hand: a decision support system on handhelds
-
Zupan B., Porenta A., Vidmar G., Aoki N., Bratko I., and Beck J.R. Decisions at hand: a decision support system on handhelds. Medinfo 10 (2001) 566-570
-
(2001)
Medinfo
, vol.10
, pp. 566-570
-
-
Zupan, B.1
Porenta, A.2
Vidmar, G.3
Aoki, N.4
Bratko, I.5
Beck, J.R.6
-
101
-
-
37249092918
-
Orange and Decisions-at-Hand: bridging predictive data mining and decision support.
-
Helsinki, Finland
-
Zupan B., Demsar J., Kattan M.W., Ohori M., Graefen M., Bohanec M., and Beck J.R. Orange and Decisions-at-Hand: bridging predictive data mining and decision support. Intlerationa Workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning. Helsinki, Finland (2001) 151-162
-
(2001)
Intlerationa Workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning
, pp. 151-162
-
-
Zupan, B.1
Demsar, J.2
Kattan, M.W.3
Ohori, M.4
Graefen, M.5
Bohanec, M.6
Beck, J.R.7
-
102
-
-
0034879710
-
Knowledge management in healthcare: towards 'knowledge-driven' decision-support services
-
Abidi S.S. Knowledge management in healthcare: towards 'knowledge-driven' decision-support services. Int. J. Med. Inf. 63 (2001) 5-18
-
(2001)
Int. J. Med. Inf.
, vol.63
, pp. 5-18
-
-
Abidi, S.S.1
-
103
-
-
0033879297
-
Knowledge discovery from data?
-
Pazzani M. Knowledge discovery from data?. IEEE Intell. Syst. (March-April 2000) 10-13
-
(2000)
IEEE Intell. Syst.
, pp. 10-13
-
-
Pazzani, M.1
-
104
-
-
0036756222
-
Uniqueness of medical data mining
-
Cios K.J., and Moore G.W. Uniqueness of medical data mining. Artif. Intell. Med. 26 (2002) 1-24
-
(2002)
Artif. Intell. Med.
, vol.26
, pp. 1-24
-
-
Cios, K.J.1
Moore, G.W.2
-
106
-
-
0035214185
-
Intelligent data analysis
-
Bellazzi R., and Zupan B. Intelligent data analysis. Meth. Inf. Med. 40 (2001) 362-364
-
(2001)
Meth. Inf. Med.
, vol.40
, pp. 362-364
-
-
Bellazzi, R.1
Zupan, B.2
-
107
-
-
0037145950
-
Health care in the information society A prognosis for the year 2013
-
Haux R., Ammenwerth E., Herzog W., and Knaup P. Health care in the information society A prognosis for the year 2013. Int. J. Med. Inf. 66 (2002) 3-21
-
(2002)
Int. J. Med. Inf.
, vol.66
, pp. 3-21
-
-
Haux, R.1
Ammenwerth, E.2
Herzog, W.3
Knaup, P.4
-
108
-
-
37249025596
-
-
Towards 2020 Science, Available at http://research.microsoft.com/towards2020science.
-
-
-
|