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Applying Machine Learning Algorithms to Segment High-Cost Patient Populations.
Yan, Jiali; Linn, Kristin A; Powers, Brian W; Zhu, Jingsan; Jain, Sachin H; Kowalski, Jennifer L; Navathe, Amol S.
Affiliation
  • Yan J; Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Linn KA; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Powers BW; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
  • Zhu J; Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA, USA.
  • Jain SH; CareMore Health System, Cerritos, CA, USA.
  • Kowalski JL; Atrius Health, Boston, MA, USA.
  • Navathe AS; Department of Medical Ethics and Health Policy, University of Pennsylvania Perelman School of Medicine, 1108 Blockley Hall, Philadelphia, PA, 19104, USA.
J Gen Intern Med ; 34(2): 211-217, 2019 02.
Article in En | MEDLINE | ID: mdl-30543022

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Health Care Costs / Medicare Part C / Machine Learning Type of study: Health_economic_evaluation / Prognostic_studies Limits: Aged / Aged80 / Female / Humans / Male Country/Region as subject: America do norte Language: En Journal: J Gen Intern Med Journal subject: MEDICINA INTERNA Year: 2019 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Health Care Costs / Medicare Part C / Machine Learning Type of study: Health_economic_evaluation / Prognostic_studies Limits: Aged / Aged80 / Female / Humans / Male Country/Region as subject: America do norte Language: En Journal: J Gen Intern Med Journal subject: MEDICINA INTERNA Year: 2019 Document type: Article Affiliation country: United States Country of publication: United States