Using Machine Learning to Predict Laboratory Test Results.

Journal: American journal of clinical pathology
Published Date: Jun 1, 2016

Abstract

OBJECTIVES: While clinical laboratories report most test results as individual numbers, findings, or observations, clinical diagnosis usually relies on the results of multiple tests. Clinical decision support that integrates multiple elements of laboratory data could be highly useful in enhancing laboratory diagnosis.

Authors

  • Yuan Luo
    Department of Preventive Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA.
  • Peter Szolovits
    Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Anand S Dighe
    Department of Pathology, Massachusetts General Hospital, Boston Harvard Medical School, Boston, MA.
  • Jason M Baron
    Department of Pathology, Massachusetts General Hospital, Boston Harvard Medical School, Boston, MA. jmbaron@partners.org.

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