Mining clinical data: Selecting decision support algorithm for the MET-AP system

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3581 LNAI, Issue , 2005, Pages 429-433

  Blaszczynski, Jerzy ^a   Farion, Ken ^b   Michalowski, Wojtek ^c   Wilk, Szymon ^a   Rubin, Steven ^b   Weiss, Dawid ^a  

^a POZNAN UNIVERSITY OF TECHNOLOGY   (Poland)

^b CHILDREN S HOSPITAL OF EASTERN ONTARIO   (Canada)

^c UNIVERSITY OF OTTAWA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DECISION MAKING; DECISION SUPPORT SYSTEMS; MEDICAL IMAGING; PEDIATRICS;

BAYESIAN REASONING; CLINICAL DECISION SUPPORT; MOBILE EMERGENCY TRIAGE - ABDOMINAL PAIN (MET-AP);

DATA MINING;

EID: 26944472395     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11527770_58     Document Type: Conference Paper

References (12)

1. Musen, M., Shahar, Y., Shortliffe, E.: Clinical decision support systems. In Shortliffe, E., Perreault, L., Wiederhold, G., Fagan, L., eds.: Medical Informatics. Computer Applications in Health Care and Biomedicine. Springer-Verlag (2001) 573-609
2. Michalowski, W., Slowinski, R., Wilk, S., Farion, K., Pike, J., Rubin, S.: Design and development of a mobile system for supporting emergency triage. Methods of Information in Medicine 44 (2005) 14-24
3. Hanson, III, C.W., Marshall, B.E.: Artificial intelligence applications in the intensive care unit. Critical Care Medicine 29 (2001) 427-35
4. Kononenko, I.: Inductive and Bayesian learning in medical diagnosis. Applied Artificial Intelligence 7 (1993) 317-377
5. de Dombal, F.T., Leaper, D.J., Staniland, J.R., McCann, A.P., Horrocks, J.C.: Computer-aided diagnosis of acute abdominal pain. British Medical Journal 2 (1972) 9-13
6. Schmidt, R., Montani, S., Bellazzi, R., Portinale, L., Gierl, L.: Cased-based reasoning for medical knowledge-based systems. International Journal of Medical Informatics 64 (2001) 355-367
7. Bichindaritz, I., Kansu, E., Sullivan, K.: Case-based reasoning in CAREPARTNER: Gathering evidence for evidence-based medical practice. In Smyth, B., Cunningham, P., eds.: Advances in Case-Based Reasoning: 4th European Workshop, Proceedings EWCBR-98, Berlin, Springer-Verlag (1998) 334-345
8. Krstacic, G., Gamberger, D., Smuc, T.: Coronary heart disease patient models based on inductive machine learning. In Quaglini, S., Barahona, P., Andreassen, S., eds.: Proceedings of 8th Conference on Artificial Intelligence in Medicine in Europe (AIME 2001), Berlin, Springer-Verlag (2001) 113-116
9. Grzymala-Busse, J.: LERS - a system for learning from examples based on rough sets. In Sowiski, R., ed.: Intelligent Decision Support - Handbook of Applications and Advances of the Rough Set Theory. Kluwer Academic Publishers, Dordrecht/Boston (1992) 3-18
10. John, G.H., Langley, P.: Estimating continuous distributions in Bayesian classifiers. In: Proceedings of the 11th Conference on Uncertainty in Artificial Intelligence. Morgan Kaufmann, San Mateo (1995) 338-345
11. Aha, D., Kibler, D., Albert, M.: Instance-based learning algorithms. Machine Learning 6 (1991) 37-66
12. Quinlan, R.: C4.5: Programs for Machine Learning. Kaufmann Publishers, San Mateo, CA (1993)