Extracting Expert Knowledge from Medical Texts
نویسندگان
چکیده
In this paper we argue that researchers in Intelligent Data Analysis (IDA) in Medicine and Pharmacology should consider textual databases as an additional source of knowledge. We describe three areas where medical knowledge extraction from textual databases can be fruitful: finding new applications for existing drugs, evolution of medical knowledge in time, and drug risk assessment. We evaluate two textual knowledge extraction methods, where an IDA approach shows to be robust and efficient compared to a common computational linguistic one.
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