Inferring grant support types from online biomedical articles

The category of institution or organization underwriting the research reported in a scientific article is a required field (Grant Support type) in the bibliographic record of that article in the MEDLINE® database. We describe a system based on a combination of a Naive Bayes classifier and heuristic rules that automatically infers the Grant Support types from article text. Testing the performance of the system on 2,000 biomedical articles shows Precision, Recall, and F-Measure exceeding 95%.

• Type: Conference
• Year: 2009
• Where: CBMS
• Authors: Jongwoo Kim, Daniel X. Le, George R. Thoma
• Keywords: Articles Shows Precision, CBMS 2009, Grant Support Types, Medical Imaging, Naive Bayes Classifier