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

Formative Evaluation of Digital Health Interventions (2828) Clinical Information and Decision Making (1661) Artificial Intelligence (1745) Machine Learning (1741) Decision Support for Health Professionals (1341) Development and Evaluation of Research Methods, Instruments and Tools (634)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41577, first published .
Prediction of Next Glucose Measurement in Hospitalized Patients by Comparing Various Regression Methods: Retrospective Cohort Study

Prediction of Next Glucose Measurement in Hospitalized Patients by Comparing Various Regression Methods: Retrospective Cohort Study

Prediction of Next Glucose Measurement in Hospitalized Patients by Comparing Various Regression Methods: Retrospective Cohort Study

Authors of this article:

Andrew D Zale1 Author Orcid Image ;   Mohammed S Abusamaan1 Author Orcid Image ;   John McGready2 Author Orcid Image ;   Nestoras Mathioudakis1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

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  1. Sly B, Shrapnel S, Sullivan C. Diabetes Digital Health, Telehealth, and Artificial Intelligence. View

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  1. Reddy K, Thandaiah Prabu R. 2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM). Machine Learning Approach for Personality Prediction from Resume using XGBoost Classifier and Comparing with Novel Random Forest Algorithm to Improve Accuracy View