Conference proceeding
A data mining technique for risk-stratification diagnosis
AMIA ... Annual Symposium proceedings, Vol.2007, pp.909-909
10/11/2007
PMID: 18694009
Abstract
We describe a data mining model for sequential diagnosis, called the Optimal Decision Path Finder (ODPF), which is built based on the idea of risk stratification. A filter was used to stratify patients depending on ease of diagnosis, and a series of patient-specific classifiers was built to diagnose with confidence while reducing exam cost. Results show that applying stratification to data mining can improve the diagnostic performance and reduce waste of medical resource. This resulting model can assist the physician in triage decisions.
Details
- Title: Subtitle
- A data mining technique for risk-stratification diagnosis
- Creators
- Chih-Lin Chi - University of IowaW Nick Street
- Resource Type
- Conference proceeding
- Publication Details
- AMIA ... Annual Symposium proceedings, Vol.2007, pp.909-909
- PMID
- 18694009
- ISSN
- 1559-4076
- eISSN
- 1942-597X
- Language
- English
- Date published
- 10/11/2007
- Academic Unit
- Bus Admin College; Nursing; Computer Science; Business Analytics
- Record Identifier
- 9984380554002771
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