Automatic medical knowledge acquisition using question-answering.

TitleAutomatic medical knowledge acquisition using question-answering.
Publication TypeJournal Article
Year of Publication2009
AuthorsPasche, E, Teodoro, D, Gobeill, J, Ruch, P, Lovis, C
JournalStudies in health technology and informatics
Volume150
Pagination569-73
Date Published2009
ISSN0926-9630
KeywordsAnti-Bacterial Agents, Automatic Data Processing, Communicable Diseases, Decision Support Systems, Clinical, Humans, Practice Guidelines as Topic
Abstract

We aim at proposing a rule generation approach to automatically acquire structured rules that can be used in decision support systems for drug prescription. We apply a question-answering engine to answer specific information requests. The rule generation is seen as an equation problem, where the factors are known items of the rule (e.g., an infectious disease, caused by a given bacteria) and solutions are answered by the engine (e.g., some antibiotics). A top precision of 0.64 is reported, which means, for about two third of the knowledge rules of the benchmark, one of the recommended antibiotic was automatically acquired by the rule generation method. These results suggest that a significant fraction of the medical knowledge can be obtained by such an automatic text mining approach.

Alternate JournalStud Health Technol Inform
PubMed ID19745375