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Population-centric risk prediction modeling for gestational diabetes mellitus: A machine learning approach 1 1 Introduction 2 2 Methods 2 2.1 Study population 2 2.2 Machine learning 2 2.3 Model features 3 3 Results 4 3.1 The risk factors in UK NICE guidelines show poor predictive performance for GDM in Singaporean women 4 3.2 Population-centric GDM prediction panel outperforms UK NICE guidelines 5 4 Discussion 5 5 Conclusion 10 Ethics approval and consent to participate 10 Availability of data and materials 10 Funding 10 Authors’ contributions 10 Declaration of Competing Interest 11 Acknowledgements 11 Appendix A Supplementary data 11 References 11
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It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
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- nonfiction
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