Evaluation of Machine Learning Models for Clinical Prediction Problems∗

L. Nelson Sanchez-Pinto, Tellen D. Bennett

Research output: Contribution to journalEditorialpeer-review

12 Scopus citations
Original languageEnglish (US)
Pages (from-to)405-408
Number of pages4
JournalPediatric Critical Care Medicine
Volume23
Issue number5
DOIs
StatePublished - May 1 2022

Funding

Supported, in part, by grant R01HD105939 from the Eunice Kennedy Shriver National Institute for Child Health and Human Development (to Drs. Sanchez-Pinto and Bennett). Dr. Bennett’s institution received funding from the National Institute of Child Health and Human Development, the National Center for Advancing Translational Sciences, and the National Heart, Lung, and Blood Institute; he received support for article research from the National Institutes of Health. Dr. Sanchez-Pinto has disclosed that he does not have any potential conflicts of interest.

Keywords

  • clinical decision support
  • critical care
  • data science
  • electronic health records
  • machine learning
  • pediatrics

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health
  • Critical Care and Intensive Care Medicine

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