Automatic home medical product recommendation.
Web-based personal health records (PHRs) are being widely deployed. To improve PHR's capability and usability, we proposed the concept of intelligent PHR (iPHR). In this paper, we use automatic home medical product recommendation as a concrete application to demonstrate the benefits of introducing intelligence into PHRs. In this new application domain, we develop several techniques to address the emerging challenges. Our approach uses treatment knowledge and nursing knowledge, and extends the language modeling method to (1) construct a topic-selection input interface for recommending home medical products, (2) produce a global ranking of Web pages retrieved by multiple queries, and (3) provide diverse search results. We demonstrate the effectiveness of our techniques using USMLE medical exam cases.
Luo
Gang
G
IBM T.J. Watson Research Center, Hawthorne, NY 10532, USA. luog@us.ibm.com
Thomas
Selena B
SB
Tang
Chunqiang
C
D000465:Algorithms; D001185:Artificial Intelligence; D004864:Equipment and Supplies; D055991:Health Records, Personal; D006699:Home Care Services / Q000458:organization & administration*; D006801:Humans; D020407:Internet; D016347:Medical Records Systems, Computerized / Q000458:organization & administration*; D017060:Patient Satisfaction; D014584:User-Computer Interface; D018875:Vocabulary, Controlled