This paper is in the following e-collection/theme issue:

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) Machine Learning (1401) Decision Support for Health Professionals (1147) Clinical Information and Decision Making (1340) Electronic Health Records (971) Clinical Informatics (919)

Published on in Vol 10, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37833, first published .
Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study

Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study

Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study

Authors of this article:

Lara J Kanbar1 Author Orcid Image ;   Benjamin Wissel2 Author Orcid Image ;   Yizhao Ni2, 3 Author Orcid Image ;   Nathan Pajor1, 2, 3 Author Orcid Image ;   Tracy Glauser3, 4 Author Orcid Image ;   John Pestian2, 3 Author Orcid Image ;   Judith W Dexheimer2, 3, 5 Author Orcid Image
Article Authors Cited by (8) Tweetations (12) Metrics

Lara J Kanbar   1 , PhD ;   Benjamin Wissel   2 , PhD ;   Yizhao Ni   2, 3 , PhD ;   Nathan Pajor   1, 2, 3 , MD ;   Tracy Glauser   3, 4 , MD ;   John Pestian   2, 3 , PhD ;   Judith W Dexheimer   2, 3, 5 , PhD

1 Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States

2 Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States

3 Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States

4 Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States

5 Division of Emergency Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States

Corresponding Author:

  • Judith W Dexheimer, PhD
  • Division of Biomedical Informatics
  • Cincinnati Children's Hospital Medical Center
  • 3333 Burnet Avenue
  • Cincinnati, OH, 45229
  • United States
  • Phone: 1 5138032962
  • Email: judith.dexheimer@cchmc.org