Condition unknown: Predicting patients’ health conditions in an online health community

Changye Li, Zachary Levonian, Haiwei Ma, Svetlana Yarosh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Online health communities rely on information about their users to provide services to members. We partner with the online health community CaringBridge.org to infer the health condition that users are discussing from their early writing on the site. We utilize the self-reported health condition data that is provided by users to train machine learning classifiers to predict the health condition of non-reporting users. An analysis of the classifier’s errors reveals that users frequently discuss multiple health conditions. We present models with explainable features, enabling us to extract words for the enrichment of consumer health vocabularies and to support future designs connecting patients.

Original languageEnglish (US)
Title of host publicationCSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery
Pages281-284
Number of pages4
ISBN (Electronic)9781450360180
DOIs
StatePublished - Oct 30 2018
Event21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018 - Jersey City, United States
Duration: Nov 3 2018Nov 7 2018

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Other

Other21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018
CountryUnited States
CityJersey City
Period11/3/1811/7/18

Keywords

  • Online Health Communities; Peer Health Support

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