Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy

10.1186/s12884-023-05766-4

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Main Authors: Cubillos, Gabriel, Monckeberg, Max, Plaza, Alejandra, Morgan, Maria, Estevez, Pablo A, Choolani, Mahesh, Kemp, Matthew W, Illanes, Sebastian E, Perez, Claudio A
Other Authors: OBSTETRICS & GYNAECOLOGY
Format: Article
Language:English
Published: BMC 2023
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/246505
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-2465052024-04-25T06:05:18Z Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy Cubillos, Gabriel Monckeberg, Max Plaza, Alejandra Morgan, Maria Estevez, Pablo A Choolani, Mahesh Kemp, Matthew W Illanes, Sebastian E Perez, Claudio A OBSTETRICS & GYNAECOLOGY Science & Technology Life Sciences & Biomedicine Obstetrics & Gynecology Gestational diabetes mellitus (GDM) GDM risk prediction Machine learning models Data augmentation Widely available variables INTERNATIONAL ASSOCIATION MELLITUS CLASSIFICATION HYPERGLYCEMIA ALGORITHM GLUCOSE TERM 10.1186/s12884-023-05766-4 BMC PREGNANCY AND CHILDBIRTH 23 1 2023-12-20T06:26:46Z 2023-12-20T06:26:46Z 2023-06-23 2023-12-20T05:11:45Z Article Cubillos, Gabriel, Monckeberg, Max, Plaza, Alejandra, Morgan, Maria, Estevez, Pablo A, Choolani, Mahesh, Kemp, Matthew W, Illanes, Sebastian E, Perez, Claudio A (2023-06-23). Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy. BMC PREGNANCY AND CHILDBIRTH 23 (1). ScholarBank@NUS Repository. https://doi.org/10.1186/s12884-023-05766-4 1471-2393 https://scholarbank.nus.edu.sg/handle/10635/246505 en BMC Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Science & Technology
Life Sciences & Biomedicine
Obstetrics & Gynecology
Gestational diabetes mellitus (GDM)
GDM risk prediction
Machine learning models
Data augmentation
Widely available variables
INTERNATIONAL ASSOCIATION
MELLITUS
CLASSIFICATION
HYPERGLYCEMIA
ALGORITHM
GLUCOSE
TERM
spellingShingle Science & Technology
Life Sciences & Biomedicine
Obstetrics & Gynecology
Gestational diabetes mellitus (GDM)
GDM risk prediction
Machine learning models
Data augmentation
Widely available variables
INTERNATIONAL ASSOCIATION
MELLITUS
CLASSIFICATION
HYPERGLYCEMIA
ALGORITHM
GLUCOSE
TERM
Cubillos, Gabriel
Monckeberg, Max
Plaza, Alejandra
Morgan, Maria
Estevez, Pablo A
Choolani, Mahesh
Kemp, Matthew W
Illanes, Sebastian E
Perez, Claudio A
Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy
description 10.1186/s12884-023-05766-4
author2 OBSTETRICS & GYNAECOLOGY
author_facet OBSTETRICS & GYNAECOLOGY
Cubillos, Gabriel
Monckeberg, Max
Plaza, Alejandra
Morgan, Maria
Estevez, Pablo A
Choolani, Mahesh
Kemp, Matthew W
Illanes, Sebastian E
Perez, Claudio A
format Article
author Cubillos, Gabriel
Monckeberg, Max
Plaza, Alejandra
Morgan, Maria
Estevez, Pablo A
Choolani, Mahesh
Kemp, Matthew W
Illanes, Sebastian E
Perez, Claudio A
author_sort Cubillos, Gabriel
title Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy
title_short Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy
title_full Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy
title_fullStr Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy
title_full_unstemmed Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy
title_sort development of machine learning models to predict gestational diabetes risk in the first half of pregnancy
publisher BMC
publishDate 2023
url https://scholarbank.nus.edu.sg/handle/10635/246505
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