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

Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (87) Machine Learning (2077)

Published on in Vol 14, No 1 (2022):

Using a Machine Learning Algorithm to Predict Online Patient Portal Utilization: A Patient Engagement Study

Using a Machine Learning Algorithm to Predict Online Patient Portal Utilization: A Patient Engagement Study

Using a Machine Learning Algorithm to Predict Online Patient Portal Utilization: A Patient Engagement Study

Authors of this article:

Ahmed U. Otokiti1 Author Orcid Image ;   Colleen M. Farrelly2 ;   Leyla Warsame3 ;   Angie Li4
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Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Ayangunna E, Shah G, Samawi H, Waterfield K, Palacios A. Association Between Social Determinants of Health and Patient Portal Utilization in the United States. BioMedInformatics 2024;4(4):2213 View
  2. Zhong L, Bather J, Goodman M, Kaiser‐Jackson L, Volkmar M, Bradshaw R, Lorenz Chambers R, Chavez‐Yenter D, Colonna S, Maxwell W, Flynn M, Gammon A, Hess R, Mann D, Monahan R, Yi Y, Sigireddi M, Wetter D, Kawamoto K, Del Fiol G, Buys S, Kaphingst K. Importance of Prior Patient Interactions With the Healthcare System to Engaging With Pretest Cancer Genetic Services via Digital Health Tools Among Unaffected Primary Care Patients: Findings From the BRIDGE Trial. Health Services Research 2025 View