Maciel Zortea, Miguel Paredes, et al.
IGARSS 2021
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.
Maciel Zortea, Miguel Paredes, et al.
IGARSS 2021
Ziyang Liu, Sivaramakrishnan Natarajan, et al.
VLDB
Arun Viswanathan, Nancy Feldman, et al.
IEEE Communications Magazine
Nanda Kambhatla
ACL 2004