Published on in Vol 10, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40039, first published .
Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods Study

Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods Study

Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods Study

Natasha Alexander 1, MBBS, MSc;  Catherine Aftandilian 2, MD;  Lin Lawrence Guo 3, PhD;  Erin Plenert 3, MSc;  Jose Posada 4, PhD;  Jason Fries 5, PhD;  Scott Fleming 5, BSc;  Alistair Johnson 3, PhD;  Nigam Shah 5, MD, PhD;  Lillian Sung 1, 3, MD, PhD

1 Division of Haematology/Oncology, The Hospital for Sick Children , Toronto, ON, CA

2 Division of Hematology/Oncology, Department of Pediatrics, Stanford University, Palo Alto, CA, US

3 Program in Child Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning , Toronto, ON, CA

4 Department of Systems Engineering and Computing, Universidad del Norte , Barranquilla , CO

5 Stanford Center for Biomedical Informatics Research, Department of Biomedical Data Science, Stanford University, Palo Alto, CA, US

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