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

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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Bibliographic Details
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
Subjects:
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
Online Access:https://scholarbank.nus.edu.sg/handle/10635/246505
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Institution: National University of Singapore
Language: English

Internet

https://scholarbank.nus.edu.sg/handle/10635/246505

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