A Lightweight Approach for Extracting Disease-Symptom Relation with MetaMap toward Automated Generation of Disease Knowledge Base

Takashi Okumura, Yuka Tateisi

Abstract: Diagnostic decision support systems necessitate disease knowledge base, and this part may occupy dominant portion in the total development cost of such systems. Accordingly, toward automated generation of disease knowledge base, we conducted a preliminary study for efficient extraction of symptomatic expressions, utilizing MetaMap, a tool for assigning UMLS (Unified Medical Language System) semantic tags onto phrases in a given medical literature text.