149 related articles for article (PubMed ID: 37587201)
1. Prediction of gestational diabetes mellitus in Asian women using machine learning algorithms.
Kang BS; Lee SU; Hong S; Choi SK; Shin JE; Wie JH; Jo YS; Kim YH; Kil K; Chung YH; Jung K; Hong H; Park IY; Ko HS
Sci Rep; 2023 Aug; 13(1):13356. PubMed ID: 37587201
[TBL] [Abstract][Full Text] [Related]
2. Machine learning risk score for prediction of gestational diabetes in early pregnancy in Tianjin, China.
Liu H; Li J; Leng J; Wang H; Liu J; Li W; Liu H; Wang S; Ma J; Chan JC; Yu Z; Hu G; Li C; Yang X
Diabetes Metab Res Rev; 2021 Jul; 37(5):e3397. PubMed ID: 32845061
[TBL] [Abstract][Full Text] [Related]
3. Prediction of gestational diabetes mellitus at the first trimester: machine-learning algorithms.
Li YX; Liu YC; Wang M; Huang YL
Arch Gynecol Obstet; 2024 Jun; 309(6):2557-2566. PubMed ID: 37477677
[TBL] [Abstract][Full Text] [Related]
4. Comparison of Machine Learning Methods and Conventional Logistic Regressions for Predicting Gestational Diabetes Using Routine Clinical Data: A Retrospective Cohort Study.
Ye Y; Xiong Y; Zhou Q; Wu J; Li X; Xiao X
J Diabetes Res; 2020; 2020():4168340. PubMed ID: 32626780
[TBL] [Abstract][Full Text] [Related]
5. Early Prediction of Gestational Diabetes Mellitus in the Chinese Population via Advanced Machine Learning.
Wu YT; Zhang CJ; Mol BW; Kawai A; Li C; Chen L; Wang Y; Sheng JZ; Fan JX; Shi Y; Huang HF
J Clin Endocrinol Metab; 2021 Mar; 106(3):e1191-e1205. PubMed ID: 33351102
[TBL] [Abstract][Full Text] [Related]
6. Prediction of Acute Kidney Injury after Extracorporeal Cardiac Surgery (CSA-AKI) by Machine Learning Algorithms.
Tong Y; Niu X; Liu F
Heart Surg Forum; 2023 Oct; 26(5):E537-E551. PubMed ID: 37920093
[TBL] [Abstract][Full Text] [Related]
7. Predicting Fetal Alcohol Spectrum Disorders Using Machine Learning Techniques: Multisite Retrospective Cohort Study.
Oh SS; Kuang I; Jeong H; Song JY; Ren B; Moon JY; Park EC; Kawachi I
J Med Internet Res; 2023 Jul; 25():e45041. PubMed ID: 37463016
[TBL] [Abstract][Full Text] [Related]
8. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
Wang J; Chen H; Wang H; Liu W; Peng D; Zhao Q; Xiao M
J Med Internet Res; 2023 Apr; 25():e43815. PubMed ID: 37023416
[TBL] [Abstract][Full Text] [Related]
9. Gradient boosted trees with individual explanations: An alternative to logistic regression for viability prediction in the first trimester of pregnancy.
Vaulet T; Al-Memar M; Fourie H; Bobdiwala S; Saso S; Pipi M; Stalder C; Bennett P; Timmerman D; Bourne T; De Moor B
Comput Methods Programs Biomed; 2022 Jan; 213():106520. PubMed ID: 34808532
[TBL] [Abstract][Full Text] [Related]
10. Prediction model for gestational diabetes mellitus using the XG Boost machine learning algorithm.
Hu X; Hu X; Yu Y; Wang J
Front Endocrinol (Lausanne); 2023; 14():1105062. PubMed ID: 36967760
[TBL] [Abstract][Full Text] [Related]
11. Prediction of Gestational Diabetes Mellitus under Cascade and Ensemble Learning Algorithm.
Zhang J; Wang F
Comput Intell Neurosci; 2022; 2022():3212738. PubMed ID: 35875747
[TBL] [Abstract][Full Text] [Related]
12. Application of machine learning algorithms to predict osteoporosis in postmenopausal women with type 2 diabetes mellitus.
Wu X; Zhai F; Chang A; Wei J; Guo Y; Zhang J
J Endocrinol Invest; 2023 Dec; 46(12):2535-2546. PubMed ID: 37171784
[TBL] [Abstract][Full Text] [Related]
13. Nonalcoholic fatty liver disease and early prediction of gestational diabetes mellitus using machine learning methods.
Lee SM; Hwangbo S; Norwitz ER; Koo JN; Oh IH; Choi ES; Jung YM; Kim SM; Kim BJ; Kim SY; Kim GM; Kim W; Joo SK; Shin S; Park CW; Park T; Park JS
Clin Mol Hepatol; 2022 Jan; 28(1):105-116. PubMed ID: 34649307
[TBL] [Abstract][Full Text] [Related]
14. Automated machine learning-based model for the prediction of delirium in patients after surgery for degenerative spinal disease.
Zhang Y; Wan DH; Chen M; Li YL; Ying H; Yao GL; Liu ZL; Zhang GM
CNS Neurosci Ther; 2023 Jan; 29(1):282-295. PubMed ID: 36258311
[TBL] [Abstract][Full Text] [Related]
15. A risk prediction model of gestational diabetes mellitus before 16 gestational weeks in Chinese pregnant women.
Wu Y; Ma S; Wang Y; Chen F; Zhu F; Sun W; Shen W; Zhang J; Chen H
Diabetes Res Clin Pract; 2021 Sep; 179():109001. PubMed ID: 34390760
[TBL] [Abstract][Full Text] [Related]
16. Prediction Model of Osteonecrosis of the Femoral Head After Femoral Neck Fracture: Machine Learning-Based Development and Validation Study.
Wang H; Wu W; Han C; Zheng J; Cai X; Chang S; Shi J; Xu N; Ai Z
JMIR Med Inform; 2021 Nov; 9(11):e30079. PubMed ID: 34806984
[TBL] [Abstract][Full Text] [Related]
17. Population-centric risk prediction modeling for gestational diabetes mellitus: A machine learning approach.
Kumar M; Chen L; Tan K; Ang LT; Ho C; Wong G; Soh SE; Tan KH; Chan JKY; Godfrey KM; Chan SY; Chong MFF; Connolly JE; Chong YS; Eriksson JG; Feng M; Karnani N
Diabetes Res Clin Pract; 2022 Mar; 185():109237. PubMed ID: 35124096
[TBL] [Abstract][Full Text] [Related]
18. Value of machine learning algorithms for predicting diabetes risk: A subset analysis from a real-world retrospective cohort study.
Mao Y; Zhu Z; Pan S; Lin W; Liang J; Huang H; Li L; Wen J; Chen G
J Diabetes Investig; 2023 Feb; 14(2):309-320. PubMed ID: 36345236
[TBL] [Abstract][Full Text] [Related]
19. [Application of machine learning model based on XGBoost algorithm in early prediction of patients with acute severe pancreatitis].
Gao X; Lin J; Wu A; Gu H; Liu X; Yin M; Zhou Z; Zhang R; Xu C; Zhu J
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Apr; 35(4):421-426. PubMed ID: 37308200
[TBL] [Abstract][Full Text] [Related]
20. Construction of the machine learning-based live birth prediction models for the first in vitro fertilization pregnant women.
Liu X; Chen Z; Ji Y
BMC Pregnancy Childbirth; 2023 Jun; 23(1):476. PubMed ID: 37370040
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]