Comparison of three databases with a decision tree approach in the medical field of acute appendicitis

Studies in Health Technology and Informatics

Volumn 84, Issue , 2001, Pages 1414-1418

  Zorman, Milan ^a   Eich, Hans Peter ^b   Kokol, Peter ^a   Ohmann, Christian ^b  

^a UNIVERSITY OF MARIBOR   (Slovenia)

^b HEINRICH HEINE UNIVERSITY   (Germany)

Author keywords

Acute Abdominal Pain; Acute Appendicitis; Decision Trees; Machine Learning; Medical Informatics

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); COMPUTERIZED TOMOGRAPHY; DATA MINING; DATABASE SYSTEMS; DECISION MAKING; DECISION SUPPORT SYSTEMS; DECISION TREES; DIAGNOSIS; LEARNING SYSTEMS; PATHOLOGY;

ABDOMINAL PAIN; ACUTE APPENDICITIS; CLINICAL EXAMINATION; COMPUTER-AIDED DECISION SUPPORTS; DECISION TREE CLASSIFIERS; MEDICAL DECISION MAKING; MEDICAL INFORMATICS; SYMBOLIC MACHINE LEARNING;

TREES (MATHEMATICS);

ACUTE ABDOMEN; ACUTE DISEASE; APPENDICITIS; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; DATA BASE; DECISION TREE; DIFFERENTIAL DIAGNOSIS; HUMAN;

ABDOMEN, ACUTE; ACUTE DISEASE; APPENDICITIS; ARTIFICIAL INTELLIGENCE; DATABASES; DECISION TREES; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSIS, DIFFERENTIAL; HUMANS;

EID: 67651224185     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-928-8-1414     Document Type: Conference Paper

References (16)

1. Tom af Klercker: Effect of Pruning of a Decision-Tree for the Ear, Nose and Throat Realm in Primary Health Care Based on Case-Notes. Journal of Medical Systems, vol. 20, no. 4 (1996): 215-226.
2. Milan Zorman, Vili Podgorelec, Peter Kokol, Margaret Peterson, Joseph Lane: Decision tree's induction strategies evaluated on a hard real world problem. In: 13th IEEE symposium on computer-based medical systems 22-24 June 2000, Houston, Texas, USA : proceedings, Los Alamitos, IEEE Computer society (2000): 19-24.
3. R. E. Andersson, A. Hungander, J. G. Thulin: Diagnostic accuracy and perforation rate in appendicitis: association with age and sex of the patient and with appendectomy rate. European Journal of Surgery (1992) 158:37-41.
4. P. J. Blind, S. T. Dahlgren: The continuing challenge of the negative appendix. Acta Chir. Scand. (1986) 152: 623-627.
5. C. Ohmann, V. Moustakis, Q. Yang, K. Lang: Evaluation of automatic knowledge acquisition techniques in the diagnosis of acute abdominal pain. Artificial Intelligence in Medicine 8 (1996): 23-36.
6. E. Pesonen, M. Eskelinen, M. Juhola: Comparison of different neural network algorithms in the diagnosis of acute appendicitis, International Journal of Bio-Medical Computing, (1996) 40: 227-233.
7. F. T. de Dombal: Diagnosis of Acute Abdominal Pain, Churchhill Livingstone, Edinburgh, (1991) 105-106.
8. J. R. Quinlan: C4.5: Programs for machine learning. Morgan Kaufmann publishers, San Mateo, CA, 1993.
9. Stuart J. Russel, Peter Norvig, et al.: Artificial intelligence: a modern approach. Englewood cliffs, Prentice-Hall (1995): 525-562.
10. Zorman Milan, Hieb Spela, Sprogar Matej: Advanced tool for building decision trees MtDeciT 2.0. In: Kokol Peter (ed.), Welzer-Druzovec Tatjana (ed.), Arabnia Hamid R. (ed.). International conference on artificial intelligence, June 28 - July 1, 1999, Las Vegas, Nevada, USA. Las Vegas: CSREA, (1999), book. 1: 315-318.
11. Zorman Milan, Kokol Peter. Dynamic discretization of continuous attributes for building decision trees. In: Fyfe C. (ed.). Proceedings of the second ICSC symposium on engineering of intelligent systems, June 27-30, 2000, University of Paisley, Scotland, U.K. : EIS 2000. Wetaskiwin; Zürich: ICSC Academic Press, (2000): 252-257.
12. F. T. de Dombai, H. de Baere, P. J. van Elk, A. Fingerhut, J. Henriques, S. M. Lavelle, G. Malizia, C. Ohmann, C. Pera, H. Sitter and D. Tsiftsis: Objective medical decision making in acute abdoinal pain, In: J. E. W. Benken and V. Thevin (Eds.): Advances in Biomedical Engineering, IOS Press, (1993) 65-87.
13. Ohmann C, Platen C, Belenky G, Franke C, Otterbeck R, Lang K et al.: Expertensystem zur Unterstützung von Diagnosestellung und Therapiewahl bei akuten Bauchschmerzen. Informatik, Biometrie und Epidemiologie in Medizin und Biologie 1995; 26(3): 262-274.
14. C. Ohmann, H. P. Eich, H. Sippel: A data dictionary approach to multilingual documentation and decision support for the diagnosis of acute abdominal pain (COPERNICUS 555, An European Concerted Action). Medinfo 1998 9(Pt 1): 462-466.
15. E. Pesonen, C. Ohmann, M. Eskelinen, M. Juhola: Increasing the accuracy of the acute appendicitis of a LVQ neural network by the use of larger neighbourhoods. Methods of Information in Medicine 37(1) (1996): 59-63.
16. B. Puppe, C. Ohmann, K. Goos, F. Puppe, O. Mootz: Evaluating four diagnostic methods with acute abdominal pain cases. Methods of Information in Medicine 34 (1995): 361-368.