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

#xEndocrinology (5) Diabetes (194) Artificial Intelligence in Diabetes Care and Prevention (29) Diabetes Surveillance and Epidemiology (27) Machine Learning (1501) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (39)

Published on in Vol 5 (2024)

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2023.11.22.23298939v1, first published .
Machine Learning–Based Hyperglycemia Prediction: Enhancing Risk Assessment in a Cohort of Undiagnosed Individuals

Machine Learning–Based Hyperglycemia Prediction: Enhancing Risk Assessment in a Cohort of Undiagnosed Individuals

Machine Learning–Based Hyperglycemia Prediction: Enhancing Risk Assessment in a Cohort of Undiagnosed Individuals

Authors of this article:

Kolapo Oyebola1, 2 Author Orcid Image ;   Funmilayo Ligali1, 2 Author Orcid Image ;   Afolabi Owoloye1, 2 Author Orcid Image ;   Blessing Erinwusi2 Author Orcid Image ;   Yetunde Alo2 Author Orcid Image ;   Adesola Z Musa1 Author Orcid Image ;   Oluwagbemiga Aina1 Author Orcid Image ;   Babatunde Salako1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Chaturvedi A. Peer Review of “Machine Learning–Based Hyperglycemia Prediction: Enhancing Risk Assessment in a Cohort of Undiagnosed Individuals”. JMIRx Med 2024;5:e60853 View
  2. Oyebola K, Ligali F, Owoloye A, Erinwusi B, Alo Y, Musa A, Aina O, Salako B. Authors’ Response to Peer Reviews of “Machine Learning–Based Hyperglycemia Prediction: Enhancing Risk Assessment in a Cohort of Undiagnosed Individuals”. JMIRx Med 2024;5:e60174 View
  3. Abd El-Hafeez T. Peer Review of “Machine Learning–Based Hyperglycemia Prediction: Enhancing Risk Assessment in a Cohort of Undiagnosed Individuals”. JMIRx Med 2024;5:e60393 View
  4. Alam F. Peer Review of “Machine Learning–Based Hyperglycemia Prediction: Enhancing Risk Assessment in a Cohort of Undiagnosed Individuals”. JMIRx Med 2024;5:e60389 View