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Wikipedia-Based Automatic Diagnosis Prediction in Clinical Decision Support Systems

zhang, danchen and He, Daqing and Zhao, Sanqiang and Li, Lei (2016) Wikipedia-Based Automatic Diagnosis Prediction in Clinical Decision Support Systems. In: iConference 2017, 22 March 2017 - 25 March 2017, Wuhan, China.

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Abstract

When making clinical decisions, physicians often consult biomedical literatures for reference. In this case, an effective clinical decision support system, provided with a patient’s health information, should be able to generate accurate queries and return to the physicians with useful articles. Related works in the Clinical Decision Support (CDS) track of TREC 2015 demonstrated the usefulness of knowing patients’ diagnosis information for supporting more effective retrieval, but the diagnosis information is often missing in most cases. Furthermore, it is still a great challenge to perform large-scale automatic diagnosis prediction. This motivates us to propose an automatic diagnosis prediction method to enhance the retrieval in a clinical decision support system, where the evidence for the prediction is extracted from Wikipedia. Through the evaluation conducted on 2014 CDS tasks, our method reaches the best performance among all submitted runs. In the next step, graph structured evidence will be integrated to make the prediction more accurate.


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Details

Item Type: Conference or Workshop Item (Poster)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
zhang, danchendaz45@pitt.eduDAZ45
He, Daqingdah44@pitt.eduDAH44
Zhao, Sanqiangsaz31@pitt.eduSAZ31
Li, Lei
Date: 21 November 2016
Date Type: Publication
Journal or Publication Title: iConference 2017
Event Title: iConference 2017
Event Dates: 22 March 2017 - 25 March 2017
Event Type: Conference
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
Date Deposited: 19 Jun 2017 14:25
Last Modified: 01 Nov 2017 14:01
URI: http://d-scholarship.pitt.edu/id/eprint/32400

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