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

Grant Proposals (eHealth, funded) (77) Clinical Informatics (911) Machine Learning (1380) Clinical Information and Decision Making (1323) Asthma Education and Self-Management in Childhood and Adolescence (69)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57981, first published .
Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study

Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study

Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study

Authors of this article:

Jie Xu1 Author Orcid Image ;   Sankalp Talankar1 Author Orcid Image ;   Jinqian Pan1 Author Orcid Image ;   Ira Harmon2 Author Orcid Image ;   Yonghui Wu1 Author Orcid Image ;   David A Fedele3 Author Orcid Image ;   Jennifer Brailsford2 Author Orcid Image ;   Jennifer Noel Fishe2, 4 Author Orcid Image
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