Study on computer-aided diagnosis system based on multidetection.
- Author:
Ling HAN
1
;
Zhe LONG
Author Information
1. School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China. hanling_bme@163.com
- Publication Type:Journal Article
- MeSH:
Bayes Theorem;
Decision Making, Computer-Assisted;
Diagnosis, Computer-Assisted;
methods;
Humans
- From:
Journal of Biomedical Engineering
2011;28(6):1114-1116
- CountryChina
- Language:Chinese
-
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.
