TY - JOUR
T1 - Maternal thyroid profile in first and second trimester of pregnancy is correlated with gestational diabetes mellitus through machine learning
AU - Araya, Juan
AU - Rodriguez, Andrés
AU - Lagos-SanMartin, Karin
AU - Mennickent, Daniela
AU - Gutiérrez-Vega, Sebastián
AU - Ortega-Contreras, Bernel
AU - Valderrama-Gutiérrez, Barbara
AU - Gonzalez, Marcelo
AU - Farías-Jofré, Marcelo
AU - Guzmán-Gutiérrez, Enrique
N1 - Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2021/1/1
Y1 - 2021/1/1
N2 - There is evidence about a possible relationship between thyroid abnormalities and gestational diabetes mellitus (GDM). However, there is still no conclusive data on this dependence, since no strong correlation has been proved. In this work, we used machine learning to determine whether there is a correlation between maternal thyroid profile in first and second trimester of pregnancy and GDM. Using principal component analysis, it was possible to find an evident correlation between both, which could be used as a complement for a more sensitive GDM diagnosis.
AB - There is evidence about a possible relationship between thyroid abnormalities and gestational diabetes mellitus (GDM). However, there is still no conclusive data on this dependence, since no strong correlation has been proved. In this work, we used machine learning to determine whether there is a correlation between maternal thyroid profile in first and second trimester of pregnancy and GDM. Using principal component analysis, it was possible to find an evident correlation between both, which could be used as a complement for a more sensitive GDM diagnosis.
KW - Gestational diabetes mellitus
KW - Machine learning
KW - Principal component analysis
KW - Thyroid hormones
UR - http://www.scopus.com/inward/record.url?scp=85093668880&partnerID=8YFLogxK
U2 - 10.1016/j.placenta.2020.10.015
DO - 10.1016/j.placenta.2020.10.015
M3 - Article
C2 - 33099203
AN - SCOPUS:85093668880
SN - 0143-4004
VL - 103
SP - 82
EP - 85
JO - Placenta
JF - Placenta
ER -
