Accession Number : AD0695056

Title :   PATTERN RECOGNITION APPROACH TO MEDICAL DIAGNOSIS,

Descriptive Note : Technical rept.,

Corporate Author : HAWAII UNIV HONOLULU INFORMATION SCIENCES PROGRAM

Personal Author(s) : Kulikowski,Casimir A.

Report Date : AUG 1969

Pagination or Media Count : 10

Abstract : A sequential method of pattern recognition was used to recognize hyperthyroidism in a sample of 2219 patients being treated at the Straub Clinic in Honolulu. For this, the method of Class Featuring Information Compression (CLAFIC) was used, introducing some significant improvements in computer medical diagnosis, which, by its very nature is a pattern recognition problem. A unique subspace characterizes each class at every decision stage, and the most prominent class features are selected. Thus, the symptoms which best distinguish hyperthyroidism are extracted at every step and the number of tests required to reach a diagnosis is reduced. (Author)

Descriptors :   (*COMPUTERS, *DIAGNOSIS(MEDICINE)), (*PATTERN RECOGNITION, DISEASES), MATHEMATICAL MODELS, THYROID GLAND, SEQUENTIAL ANALYSIS

Subject Categories : Medicine and Medical Research
      Computer Hardware
      Bionics

Distribution Statement : APPROVED FOR PUBLIC RELEASE