Klinische Projekte

(Projektbeschreibung nur in Englisch)

CADIAG-II: Computer-Assisted Diagnosis in Internal Medicine

K.-P. Adlassnig1, G. Kolarz2,3, G. Grabner1, W. Scheithauer4, H. Leitich1

1 Department of Medical Computer Sciences, Section on Medical Expert and Knowledge-Based Systems, University of Vienna Medical School, Spitalgasse 23, A-1090 Vienna, Austria
e-mail: klaus-peter.adlassnig@meduniwien.ac.at
2 Clinic for Rheumatic Diseases of the Social Insurance Company for Trade and Industry, A-2500 Baden, Austria Adolfine-Melcher-Gasse 1
3 Institute for Rheumatology, Marchetstraße 78, A-2500 Baden, Austria
4 Department of Internal Medicine I, Division of Oncology, University of Vienna Medical School, Währinger Gürtel 18-20, A-1090 Vienna, Austria

The Computer-Assisted DIAGnostic (CADIAG) projects are long term efforts aimed at building consultation systems able to extensively assist in the differential diagnostic and eventually in the therapeutic process in internal medicine. CADIAG-II, a consultation system formally based on fuzzy set theory and fuzzy logic, was developed and practically tested in 1979/80 [1]. The underlying clinical issues of CADIAG-II are:

CADIAG-II was described at various stages of development [2,3] and applied in different areas of internal medicine [4-6]. It is fully integrated into the medical information system (Wiener Allgemeines Medizinisches Informationssystem, WAMIS) of the Vienna General Hospital [7].

The development of the CADIAG systems, the integration of CADIAG-II into the medical information system WAMIS, and their extended retrospective and prospective case evaluations with patient records from the Vienna General Hospital form a broad basis of theoretical and practical knowledge to develop a new and extended system for the ambitious task to assist the mental diagnostic and therapeutic activities of physicians, nurses, and laboratory personnel.

References

  1. Adlassnig, K.-P. (1980) A Fuzzy Logical Model of Computer-Assisted Medical Diagnosis. Methods of Information in Medicine 19, 141–148.
  2. Adlassnig, K.-P. (1986) Fuzzy Set Theory in Medical Diagnosis. IEEE Transactions on Systems, Man, and Cybernetics 16, 260–265.
  3. Adlassnig, K.-P. (1988) Uniform Representation of Vagueness and Imprecision in Patient’s Medical Findings Using Fuzzy Sets. In: Trappl R., ed., Cybernetics and Systems ’88. Kluwer Academic Publishers, Dordrecht, 685–692.
  4. Adlassnig, K.-P., Akhavan-Heidari M. (1989) CADIAG-2/GALL: An Experimental Expert System for the Diagnosis of Gallbladder and Biliary Tract Diseases. Artificial Intelligence in Medicine 1, 71–77.
  5. Adlassnig, K.-P., Scheithauer, W. (1989) Performance Evaluation of Medical Expert Systems Using ROC Curves. Computers and Biomedical Research 22, 297–313.
  6. Leitich, H., Adlassnig, K.-P., Kolarz, G. (1996) Development and Evaluation of Fuzzy Criteria for the Diagnosis of Rheumatoid Arthritis. Methods of Information in Medicine 35, 334–342.
  7. Adlassnig, K.-P., Kolarz, G., Scheithauer, W., Grabner, H. (1986) Approach to a Hospital-Based Application of a Medical Expert System. Medical Informatics 11, 205–223.