title: [Study on computer-aided diagnosis system based on multidetection].
abstract: This paper, analyzes the defects and its limitations of computer-aided diagnosis system (CADS) in clinical practice in the past, proposes a new pattern CADS of designing method. We used the theory of multidetection, stored the accumulated experience in computer, established the knowledge base, and made the medical diagnosis through maximizing a posteriori (MAP) judgement rule. Statistical data revealed that the CADS had a high accuracy rate. The medical diagnosis can meet the demand for clinical treatments, and realize the clinical diagnostic application of information technology.
authors.affiliation: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China. hanling_bme@163.com
authors.forename: Ling
authors.initials: L
authors.lastname: Han
authors.forename: Zhe
authors.initials: Z
authors.lastname: Long
mesh_terms: D001499:Bayes Theorem; D003658:Decision Making, Computer-Assisted; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans