A text based drug query system for mobile phones

被引：5

作者：

Langer, Akhil ^{[1
]}

Banga, Rohit ^{[2
]}

Mittal, Ankush ^{[3
]}

Subramaniam, L. V. ^{[4
]}

Sondhi, Parikshit ^{[1
]}

机构：

[1] Univ Illinois, Dept Comp Sci, Urbana, IL 61801 USA

[2] Georgia Inst Technol, Coll Comp, Atlanta, GA 30332 USA

[3] Graph Era Univ, Dept Comp Sci & Engn, Dehra Dun 248002, India

[4] IBM Res, Informat Qual & Discovery, New Delhi 110070, India

来源：

INTERNATIONAL JOURNAL OF MOBILE COMMUNICATIONS | 2014年 / 12卷 / 04期

关键词：

mobile communication; text processing; question answering system; healthcare; drug; medicine; SMS; short message service; machine learning; SUPPORT VECTOR MACHINES; ADOPTION; CARE; QUESTIONS;

D O I：

10.1504/IJMC.2014.063656

中图分类号：

G2 [信息与知识传播];

学科分类号：

05 ; 0503 ;

摘要：

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.

引用

页码：411 / 429

页数：19

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