Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer.

Journal: JAMA network open
PMID: 34232304

Abstract

IMPORTANCE: Electronic health records (EHRs) provide a low-cost means of accessing detailed longitudinal clinical data for large populations. A lung cancer cohort assembled from EHR data would be a powerful platform for clinical outcome studies.

Authors

  • Qianyu Yuan
    Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
  • Tianrun Cai
    Harvard-MIT Center for Regulatory Science, Harvard Medical School, Boston, MA, United States.
  • Chuan Hong
    Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Mulong Du
    Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
  • Bruce E Johnson
    Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
  • Michael Lanuti
    Division of Thoracic Surgery, Massachusetts General Hospital, Boston, MA, USA.
  • Tianxi Cai
    Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
  • David C Christiani

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