PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 32974638

Abstract

OBJECTIVE: Developing algorithms to extract phenotypes from electronic health records (EHRs) can be challenging and time-consuming. We developed PheMap, a high-throughput phenotyping approach that leverages multiple independent, online resources to streamline the phenotyping process within EHRs.

Authors

  • Neil S Zheng
    Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • QiPing Feng
    Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, TN, USA.
  • V Eric Kerchberger
    Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Juan Zhao
    Hefei University, Hefei, China.
  • Todd L Edwards
    Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA.
  • Nancy J Cox
    Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • C Michael Stein
    Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Dan M Roden
    Vanderbilt University Medical Center, Nashville, TN, USA.
  • Joshua C Denny
    Vanderbilt University, Nashville, TN.
  • Wei-Qi Wei
    Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA.

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