Prediction of gestational diabetes in the first trimester using machine learning-based methods

被引：0

作者：

Lee, Seung Mi ^{[1
]}

Hwangbo, Suhyun ^{[2
]}

Norwitz, Errol R. ^{[3
]}

Koo, Ja Nam ^{[4
]}

Oh, Ig Hwan ^{[4
]}

Choi, Eun Saem ^{[5
]}

Jung, Young Mi ^{[1
]}

Kim, Sun Min ^{[6
]}

Kim, Byoung Jae ^{[7
]}

Kim, Sang Youn ^{[5
]}

Kim, Gyoung Min ^{[8
]}

Kim, Won ^{[7
]}

Joo, Sae Kyung ^{[7
]}

Shin, Sue ^{[7
]}

Park, Chan-Wook ^{[9
]}

Park, Taesung ^{[2
]}

Park, Joong Shin ^{[1
]}

机构：

[1] Seoul Natl Univ, Coll Med, Dept Obstet & Gynecol, Seoul, South Korea

[2] Seoul Natl Univ, Seoul, South Korea

[3] Tufts Med Ctr, Boston, MA 02111 USA

[4] Seoul Womens Hosp, Incheon, South Korea

[5] Seoul Natl Univ, Coll Med, Seoul, South Korea

[6] Seoul Natl Univ, Seoul Metropolitan Govt, Boramae Med Ctr, Dept Obstet & Gynecol, Seoul, South Korea

[7] Seoul Natl Univ, Boramae Med Ctr, Seoul Metropolitan Govt, Seoul, South Korea

[8] Yeonsei Univ, Coll Med, Seoul, South Korea

[9] Seoul Natl Univ, Coll Med, Dept Obstet & Gynecol, Seoul, South Korea

来源：

AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY | 2021年 / 224卷 / 02期

关键词：

D O I：

暂无

中图分类号：

R71 [妇产科学];

学科分类号：

100211 ;

摘要：

390

引用

页码：S252 / S253

页数：2

共 50 条

[1] Prediction of gestational diabetes mellitus at the first trimester: machine-learning algorithms
Li, Yi-xin
Liu, Yi-chen
Wang, Mei
Huang, Yu-li
[J]. ARCHIVES OF GYNECOLOGY AND OBSTETRICS, 2024, 309 (06) : 2557 - 2566
[2] The First Trimester: Prediction of Gestational Diabetes
Sweeting, Arianne N.
Ross, Glynis P.
Wong, Jencia
Williams, Paul F.
Sairanen, Mikko
Kouru, Heikki
Hyett, Jon
[J]. DIABETES, 2016, 65 : A351 - A351
[3] Machine Learning-Based Prediction of Large-for-Gestational-Age Infants in Mothers With Gestational Diabetes Mellitus
Kang, Mei
Zhu, Chengguang
Lai, Mengyu
Weng, Jianrong
Zhuang, Yan
He, Huichen
Qiu, Yan
Wu, Yixia
Qi, Zhangxuan
Zhang, Weixia
Xu, Xianming
Zhu, Yanhong
Wang, Yufan
Yang, Xiaokang
[J]. JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2024,
[4] Machine Learning-Based Risk Stratification for Gestational Diabetes Management
Yang, Jenny
Clifton, David
Hirst, Jane E.
Kavvoura, Foteini K.
Farah, George
Mackillop, Lucy
Lu, Huiqi
[J]. SENSORS, 2022, 22 (13)
[5] An explainable machine learning-based clinical decision support system for prediction of gestational diabetes mellitus
Yuhan Du
Anthony R. Rafferty
Fionnuala M. McAuliffe
Lan Wei
Catherine Mooney
[J]. Scientific Reports, 12
[6] An explainable machine learning-based clinical decision support system for prediction of gestational diabetes mellitus
Du, Yuhan
Rafferty, Anthony R.
McAuliffe, Fionnuala M.
Wei, Lan
Mooney, Catherine
[J]. SCIENTIFIC REPORTS, 2022, 12 (01)
[7] First trimester biomarkers for prediction of gestational diabetes mellitus
Tenenbaum-Gavish, Kinneret
Sharabi-Nov, Adi
Binyamin, Dana
Moller, Holger Jon
Danon, David
Rothman, Lihi
Hadar, Eran
Idelson, Ana
Vogel, Ida
Koren, Omry
Nicolaides, Kypros H.
Gronbaek, Henning
Meiri, Hamutal
[J]. PLACENTA, 2020, 101 : 80 - 89
[8] FIRST TRIMESTER MULTIPARAMETRIC MODEL FOR GESTATIONAL DIABETES PREDICTION
Correa, Paula
Venegas, Pia
Rice, Greg
Salomon, Carlos
Montenegro, Lazaro
Olguin, Jaime
Roa, Jaime
Cortes, Jorge
Nien, Jyh Kae
Illanes, Sebastian
[J]. PLACENTA, 2015, 36 (09) : A41 - A42
[9] Early prediction of gestational diabetes mellitus using first trimester screening biomarkers
Donovan, Brittney
Baer, Rebecca
Oltman, Scott
Rand, Larry
Jelliffe-Pawlowski, Laura
Ryckman, Kelli
[J]. AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2017, 216 (01) : S321 - S321
[10] Prediction of gestational diabetes mellitus in the first 19 weeks of pregnancy using machine learning techniques
Xiong, Yan
Lin, Lu
Chen, Yu
Salerno, Stephen
Li, Yi
Zeng, Xiaoxi
Li, Huafeng
[J]. JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE, 2022, 35 (13): : 2457 - 2463

← 1 2 3 4 5 →