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

Pilot studies (ehealth) (215) Artificial Intelligence in Diabetes Care and Prevention (29) Machine Learning (1501) Diabetes Education and Elearning for Patients (117)

Published on in Vol 6, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37838, first published .
Optimizing Health Coaching for Patients With Type 2 Diabetes Using Machine Learning: Model Development and Validation Study

Optimizing Health Coaching for Patients With Type 2 Diabetes Using Machine Learning: Model Development and Validation Study

Optimizing Health Coaching for Patients With Type 2 Diabetes Using Machine Learning: Model Development and Validation Study

Authors of this article:

Shuang Di1, 2 Author Orcid Image ;   Jeremy Petch1, 3, 4, 5 Author Orcid Image ;   Hertzel C Gerstein3, 5 Author Orcid Image ;   Ruoqing Zhu6 Author Orcid Image ;   Diana Sherifali3, 7 Author Orcid Image
Article Authors Cited by (4) Tweetations (8) Metrics

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  1. Sheng B, Pushpanathan K, Guan Z, Lim Q, Lim Z, Yew S, Goh J, Bee Y, Sabanayagam C, Sevdalis N, Lim C, Lim C, Shaw J, Jia W, Ekinci E, Simó R, Lim L, Li H, Tham Y. Artificial intelligence for diabetes care: current and future prospects. The Lancet Diabetes & Endocrinology 2024;12(8):569 View
  2. Plotkina L, Sri Ramalu S. Unearthing AI coaching chatbots capabilities for professional coaching: a systematic literature review. Journal of Management Development 2024;43(6):833 View

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  1. Tamrakar P, Pathak G, Lal M, Goel A, Bhende M. Machine Learning Algorithms. View