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Systematic review of approaches to use of neighborhood-level risk factors with clinical data to predict clinical risk and recommend interventions.
Wilkinson, Katie; Sheets, Lincoln; Fitch, Dale; Popejoy, Lori.
Affiliation
  • Wilkinson K; Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, United States; School of Medicine, University of Missouri, Columbia, MO 65212, United States. Electronic address: wilkinsonka@health.missouri.edu.
  • Sheets L; Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, United States; School of Medicine, University of Missouri, Columbia, MO 65212, United States.
  • Fitch D; Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, United States; School of Social Work, University of Missouri, Columbia, MO 65212, United States.
  • Popejoy L; Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, United States; School of Nursing, University of Missouri, Columbia, MO 65212, United States.
J Biomed Inform ; 116: 103713, 2021 04.
Article in En | MEDLINE | ID: mdl-33610880
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Electronic Health Records / Machine Learning Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limits: Humans Language: En Journal: J Biomed Inform Journal subject: INFORMATICA MEDICA Year: 2021 Type: Article
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Electronic Health Records / Machine Learning Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limits: Humans Language: En Journal: J Biomed Inform Journal subject: INFORMATICA MEDICA Year: 2021 Type: Article