Extraction of Disease Factors from Medical Texts

摘要

Knowledge about specific diseases is often evolving but is embedded in medical texts. We propose a technique that employs term proximity information to improve the extraction of the disease factors, which are concept terms related to specific diseases in the medical texts. The disease factors are a core knowledge base for many information systems for healthcare decision support and education. In two case studies on a broad range of diseases, the proposed technique significantly further enhances a good extraction technique to rank the diagnosis factors.