Prediction of Future Health Care Utilization.

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  • Additional Information
    • Source:
      Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform
    • Publication Information:
      Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991-
    • Subject Terms:
    • Abstract:
      Psychosocial factors are known to have adverse health impacts, but are rarely measured; using natural language processing, we extracted factors that identified a higher risk segment of older adults with multimorbidity. We find these extracted features are highly predictive of future emergency department visits and hospitalizations, although only marginal prediction gains are seen compared to other models without these factors. Combining these extraction techniques with other measures of social determinants may help catalyze population health efforts to mitigate these health impacts.
    • Contributed Indexing:
      Keywords: biopsychosocial; multimorbidity; psychosocial
    • Publication Date:
      Date Created: 20220608 Date Completed: 20220609 Latest Revision: 20220609
    • Publication Date:
      20220610
    • Accession Number:
      10.3233/SHTI220282
    • Accession Number:
      35673220