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EMERGE-A Data-Driven Medical Decision Making Aid
1School of Medicine, University of California, Fresno-Central San Joaquin Valley Medical Education Program, Fresno, CA 93703.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
Summary
EMERGE is a versatile, rule-based expert system aiding medical decisions. Its design allows easy adaptation for various applications, starting with emergency room chest pain analysis.
Area of Science:
- Medical Informatics
- Artificial Intelligence in Medicine
- Clinical Decision Support Systems
Background:
- Medical decision-making requires efficient tools.
- Expert systems offer potential for aiding clinicians.
- Existing systems may lack flexibility or have high resource demands.
Purpose of the Study:
- To describe the EMERGE expert system.
- To detail its control structures and rule searching.
- To highlight its adaptability for medical decision support.
Main Methods:
- Developed EMERGE as a machine-independent expert system.
- Implemented in standard Pascal for broad compatibility.
- Designed with a separate knowledge base for modularity.
Main Results:
- EMERGE operates on microcomputers with modest memory.
- The system is rule-based, suitable for complex analysis.
- Knowledge base separation allows application area changes.
Conclusions:
- EMERGE provides a flexible and accessible medical decision aid.
- The system's architecture supports diverse clinical applications.
- Further development can leverage its adaptable design for various medical domains.
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