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

Clinical Information and Decision Making (1436) Machine Learning (1504) Gestational Diabetes (29) Diabetes Prevention (86) Apps, Mobile, Wearables for Diabetes (306) Glucose Tracking and Self-Monitoring of Blood Glucose (166) Decision Support for Health Professionals (1211)

Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21435, first published .
Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation

Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation

Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation

Authors of this article:

Carmelo Velardo1, 2 Author Orcid Image ;   David Clifton1, 2 Author Orcid Image ;   Steven Hamblin1 Author Orcid Image ;   Rabia Khan1 Author Orcid Image ;   Lionel Tarassenko1, 2 Author Orcid Image ;   Lucy Mackillop1, 3, 4 Author Orcid Image
Article Authors Cited by (11) Tweetations (5) Metrics

Carmelo Velardo   1, 2 , PhD ;   David Clifton   1, 2 , DPhil ;   Steven Hamblin   1 , PhD ;   Rabia Khan   1 , PhD ;   Lionel Tarassenko   1, 2 , DPhil ;   Lucy Mackillop   1, 3, 4 , MA

1 Sensyne Health, plc, Oxford, United Kingdom

2 Department of Engineering Science, University of Oxford, Oxford, United Kingdom

3 Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom

4 Nuffield Department of Women’s Reproductive Health, University of Oxford, Oxford, United Kingdom

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