title: Development of medical decision support system for leukemia management.
abstract: A leukemia management system was developed in this study which is comprised of four modules: registry, diagnosis, prognosis of treatment, and CAI. The emphasis was on patient management as a whole. Three knowledge models were developed to predict accurate diagnosis and prognosis of treatment: case-based reasoning, neural network, and discriminant analysis, Of these, discriminant analysis model produced the most accurate diagnosis, whereas neural network produced the most accurate prognosis of treatment.
authors.affiliation: Graduate School of Health Science and Management, Yonsei University, Seoul, Korea. ymchae@yumc.yonsei.ac.kr
authors.forename: Y M
authors.initials: YM
authors.lastname: Chae
authors.forename: K S
authors.initials: KS
authors.lastname: Park
authors.forename: Q
authors.initials: Q
authors.lastname: Park
authors.forename: M Y
authors.initials: MY
authors.lastname: Bae
mesh_terms: D003658:Decision Making, Computer-Assisted; D020000:Decision Support Systems, Clinical; D016002:Discriminant Analysis; D005103:Expert Systems; D006801:Humans; D007938:Leukemia / Q000175:diagnosis / Q000628:therapy*; D016571:Neural Networks, Computer; D011379:Prognosis