A database model for medical consultation.
The database model presented in this article is suitable for applications in which queries may require noncrisp references to certain attributes. The data item (attribute) values may be crisp or fuzzy. For instance, such adjectives as "high" or "normal" may be attribute values for the attribute "blood pressure." A disease or a condition can be described by a number of symptoms which may be crisp alphanumeric values or fuzzy terms such as "high" or "normal." A query into this database can retrieve diseases which have "similar" symptoms. The similarity or "indistinguishability" is a measure defined by the database user on the relations that describe a family of diseases. This database system in conjunction with a rule base can provide the framework for a medical consultation system.
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Department of Electrical Engineering and Computer Science, University of California, Berkeley 94740.
D003198:Computer Simulation; D016208:Databases, Factual; D003936:Diagnosis, Computer-Assisted / Q000639:trends*; D012017:Referral and Consultation; D012660:Semantics; D014481:United States