Back to Search
Start Over
ISMAC: An Intelligent System for Customized Clinical Case Management and Analysis
- Source :
- The Scientific World Journal, The Scientific World Journal, Vol 2015 (2015)
- Publication Year :
- 2015
- Publisher :
- Hindawi Publishing Corporation, 2015.
-
Abstract
- Clinical cases are primary and vital evidence for Traditional Chinese Medicine (TCM) clinical research. A great deal of medical knowledge is hidden in the clinical cases of the highly experienced TCM practitioner. With a deep Chinese culture background and years of clinical experience, an experienced TCM specialist usually has his or her unique clinical pattern and diagnosis idea. Preserving huge clinical cases of experienced TCM practitioners as well as exploring the inherent knowledge is then an important but arduous task. The novel system ISMAC (Intelligent System for Management and Analysis of Clinical Cases in TCM) is designed and implemented for customized management and intelligent analysis of TCM clinical data. Customized templates with standard and expert-standard symptoms, diseases, syndromes, and Chinese Medince Formula (CMF) are constructed in ISMAC, according to the clinical diagnosis and treatment characteristic of each TCM specialist. With these templates, clinical cases are archived in order to maintain their original characteristics. Varying data analysis and mining methods, grouped as Basic Analysis, Association Rule, Feature Reduction, Cluster, Pattern Classification, and Pattern Prediction, are implemented in the system. With a flexible dataset retrieval mechanism, ISMAC is a powerful and convenient system for clinical case analysis and clinical knowledge discovery.
- Subjects :
- Association rule learning
Article Subject
Statistics as Topic
lcsh:Medicine
Traditional Chinese medicine
computer.software_genre
lcsh:Technology
General Biochemistry, Genetics and Molecular Biology
Clinical knowledge
Task (project management)
Feature (machine learning)
Medicine
Humans
lcsh:Science
General Environmental Science
Information retrieval
lcsh:T
business.industry
Data Collection
lcsh:R
General Medicine
Syndrome
Clinical research
Clinical diagnosis
lcsh:Q
Data mining
Clinical case
business
computer
Case Management
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 23566140
- Database :
- OpenAIRE
- Journal :
- The Scientific World Journal
- Accession number :
- edsair.doi.dedup.....f81ab2d789fbf8c6619ccc978f3c2f11
- Full Text :
- https://doi.org/10.1155/2015/473168