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

Formative Evaluation of Digital Health Interventions (2830) Artificial Intelligence (1748) Machine Learning (1742) Clinical Information and Decision Making (1661) Electronic Health Records (1186) Glucose Tracking and Self-Monitoring of Blood Glucose (184)

Published on in Vol 6, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36176, first published .
Machine Learning Prediction of Hypoglycemia and Hyperglycemia From Electronic Health Records: Algorithm Development and Validation

Machine Learning Prediction of Hypoglycemia and Hyperglycemia From Electronic Health Records: Algorithm Development and Validation

Machine Learning Prediction of Hypoglycemia and Hyperglycemia From Electronic Health Records: Algorithm Development and Validation

Authors of this article:

Harald Witte1 Author Orcid Image ;   Christos Nakas1, 2 Author Orcid Image ;   Lia Bally3 Author Orcid Image ;   Alexander Benedikt Leichtle1, 4 Author Orcid Image
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11:36 AM · May 09, 2022

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Online first - our manuscript on hypo-and hyperglycemia prediction. Great teamwork with @CNakas https://t.co/oN29zGCnEF

3:34 PM · May 09, 2022

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Biometry Lab Biometry Lab @CNakas

RT @Leichtle: Online first - our manuscript on hypo-and hyperglycemia prediction. Great teamwork with @CNakas https://t.co/oN29zGCnEF

3:50 PM · May 09, 2022

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JMIR Publications JMIR Publications @jmirpub

JMIR Formative Res: Machine Learning Prediction of Hypoglycemia and Hyperglycemia From Electronic Health Records: A… https://t.co/5YCQKRMbNj

1:06 PM · Jul 18, 2022

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RT @jmirpub: JMIR Formative Res: Machine Learning Prediction of Hypoglycemia and Hyperglycemia From Electronic Health Records: Algorithm De…

1:06 PM · Jul 18, 2022

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