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Open Access
Peer-reviewed
Research Article
Machine learning prediction of non-attendance to postpartum glucose screening and subsequent risk of type 2 diabetes following gestational diabetes
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Nishanthi Periyathambi ,
Contributed equally to this work with: Nishanthi Periyathambi, Durga Parkhi
Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliations Division of Populations, Evidence, and Technologies of Health Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom, Department of Diabetes, Endocrinology, and Metabolism, George Eliot Hospital, Nuneaton, United Kingdom
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Durga Parkhi ,
Contributed equally to this work with: Nishanthi Periyathambi, Durga Parkhi
Roles Formal analysis, Methodology, Software, Validation, Visualization, Writing – review & editing
Affiliation Division of Populations, Evidence, and Technologies of Health Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom
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Yonas Ghebremichael-Weldeselassie ,
Roles Conceptualization, Methodology, Software, Validation, Writing – review & editing
¶‡ YGW, VP, NS, RS and LN also contributed equally to this work.
Affiliations Division of Populations, Evidence, and Technologies of Health Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom, School of Mathematics and Statistics, The Open University, Milton Keynes, United Kingdom
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Vinod Patel ,
Roles Conceptualization, Resources, Writing – review & editing
¶‡ YGW, VP, NS, RS and LN also contributed equally to this work.
Affiliation Department of Diabetes, Endocrinology, and Metabolism, George Eliot Hospital, Nuneaton, United Kingdom
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Nithya Sukumar ,
Roles Conceptualization, Methodology, Resources, Supervision, Validation, Writing – review & editing
¶‡ YGW, VP, NS, RS and LN also contributed equally to this work.
Affiliations Division of Populations, Evidence, and Technologies of Health Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom, Department of Diabetes, Endocrinology, and Metabolism, George Eliot Hospital, Nuneaton, United Kingdom
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Rahul Siddharthan ,
Roles Methodology, Software, Validation, Visualization, Writing – review & editing
¶‡ YGW, VP, NS, RS and LN also contributed equally to this work.
Affiliations Department of Computational Biology, The Institute of Mathematical Sciences, Chennai, India, Homi Bhabha National Institute, Mumbai, India
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Leelavati Narlikar ,
Roles Methodology, Software, Validation, Visualization, Writing – review & editing
Current address: Department of Data Science, Indian Institute of Science Education and Research, Pune, India
¶‡ YGW, VP, NS, RS and LN also contributed equally to this work.
Affiliation Department of Chemical Engineering, CSIR-National Chemical Laboratory, Pune, India
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Ponnusamy Saravanan
Roles Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Supervision, Writing – review & editing
* E-mail: P.Saravanan@warwick.ac.uk
Affiliations Division of Populations, Evidence, and Technologies of Health Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom, Department of Diabetes, Endocrinology, and Metabolism, George Eliot Hospital, Nuneaton, United Kingdom
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Machine learning prediction of non-attendance to postpartum glucose screening and subsequent risk of type 2 diabetes following gestational diabetes
- Nishanthi Periyathambi,
- Durga Parkhi,
- Yonas Ghebremichael-Weldeselassie,
- Vinod Patel,
- Nithya Sukumar,
- Rahul Siddharthan,
- Leelavati Narlikar,
- Ponnusamy Saravanan
- Published: March 7, 2022
- https://doi.org/10.1371/journal.pone.0264648