Performance test case generation for microprocessors
Pradip Bose
VTS 1998
Dissemination of medical information using mobile phones is still in a nascent stage because of their limited features - lack of penetration of mobile internet, small screen size etc. We present the design of a drug QA system that could be used for providing information about medicines over short message service (SMS). We begin with a survey of the drug information domain and classify the drug related queries into a set of predefined classes. Our system uses several natural language processing tools coupled with machine learning classification techniques to process drug information related queries. We focus on developing a natural language interface allowing the user to be flexible in phrasing their queries and attain an accuracy of 81% in classifying the drug related questions. We conclude that it is feasible and cheap to deploy such a system to encourage the practice of evidence based medicine. Copyright © 2014 Inderscience Enterprises Ltd.
Pradip Bose
VTS 1998
Inbal Ronen, Elad Shahar, et al.
SIGIR 2009
Thomas M. Cheng
IT Professional
Charles H. Bennett, Aram W. Harrow, et al.
IEEE Trans. Inf. Theory