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

Adoption and Change Management of eHealth Systems (693) Data Science (251) Machine Learning (1427) Electronic Health Records (1023)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41576, first published .
Using the H2O Automatic Machine Learning Algorithms to Identify Predictors of Web-Based Medical Record Nonuse Among Patients in a Data-Rich Environment: Mixed Methods Study

Using the H2O Automatic Machine Learning Algorithms to Identify Predictors of Web-Based Medical Record Nonuse Among Patients in a Data-Rich Environment: Mixed Methods Study

Using the H2O Automatic Machine Learning Algorithms to Identify Predictors of Web-Based Medical Record Nonuse Among Patients in a Data-Rich Environment: Mixed Methods Study

Authors of this article:

Yang Chen1 Author Orcid Image ;   Xuejiao Liu1 Author Orcid Image ;   Lei Gao2 Author Orcid Image ;   Miao Zhu3 Author Orcid Image ;   Ben-Chang Shia4, 5 Author Orcid Image ;   Mingchih Chen4, 5 Author Orcid Image ;   Linglong Ye6 Author Orcid Image ;   Lei Qin1, 7 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

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