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Machine Learning Prediction Models for Gestational Diabetes Mellitus: Meta-analysis | Synapse

December 10, 2021Open Access

Machine Learning Prediction Models for Gestational Diabetes Mellitus: Meta-analysis

ZZZheqing ZhangNantong University LYLuqian YangShanghai Sixth People's Hospital WHWentao HanCentral South University

Key Points

Key points are not available for this paper at this time.

Abstract

Compared to current screening strategies, ML methods are attractive for predicting GDM. To expand their use, the importance of quality assessments and unified diagnostic criteria should be further emphasized.

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Cite This Study

Zhang et al. (Fri,) studied this question.

synapsesocial.com/papers/69d8f384e72b319804d17d77 https://doi.org/https://doi.org/10.2196/26634

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5Gestational diabetes: Development of an early risk prediction tool to facilitate opportunities for prevention2011 · 151 citations