Chronological semantics modeling: A topic evolution approach in online user-generated medical data

Cheng Yu Chung, I. Han Hsiao

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

Abstract

Online medical discussion forums/question answering sites have become one of the major resources for people to look for healthcare information. These sites typically contain tremendous user-generated content (UGC) that possesses complex domain-specific information in layman’s terms, which is the opposite of formal medical records kept in hospitals (i.e. Electronic Health Record). The goal of this project is to dissect semantics and extract valuable information systematically from UGC composed in unstructured and unconstrained format. We propose an automatic medical content analyzer that takes into account language semantics as well as progression (evolution) of medical events. The preliminary evaluation on the WebMD dataset shows that evolution-based recommendation uncovers broader domain semantic which might be ignored when using word-level or concept-based features.

Original languageEnglish (US)
Title of host publicationSocial, Cultural, and Behavioral Modeling - 12th International Conference, SBP-BRiMS 2019, Proceedings
EditorsRobert Thomson, Christopher Dancy, Ayaz Hyder, Halil Bisgin
PublisherSpringer Verlag
Pages103-112
Number of pages10
ISBN (Print)9783030217402
DOIs
StatePublished - Jan 1 2019
Event12th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2019 - Washington D.C., United States
Duration: Jul 9 2019Jul 12 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11549 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2019
CountryUnited States
CityWashington D.C.
Period7/9/197/12/19

Keywords

  • Text processing
  • Topic evolution
  • User-generated content

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Chung, C. Y., & Hsiao, I. H. (2019). Chronological semantics modeling: A topic evolution approach in online user-generated medical data. In R. Thomson, C. Dancy, A. Hyder, & H. Bisgin (Eds.), Social, Cultural, and Behavioral Modeling - 12th International Conference, SBP-BRiMS 2019, Proceedings (pp. 103-112). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11549 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-21741-9_11