These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
1538 related articles for article (PubMed ID: 32623348)
1. Machine learning algorithms to predict early pregnancy loss after in vitro fertilization-embryo transfer with fetal heart rate as a strong predictor. Liu L; Jiao Y; Li X; Ouyang Y; Shi D Comput Methods Programs Biomed; 2020 Nov; 196():105624. PubMed ID: 32623348 [TBL] [Abstract][Full Text] [Related]
2. Multifactor Prediction of Embryo Transfer Outcomes Based on a Machine Learning Algorithm. Liu R; Bai S; Jiang X; Luo L; Tong X; Zheng S; Wang Y; Xu B Front Endocrinol (Lausanne); 2021; 12():745039. PubMed ID: 34795639 [No Abstract] [Full Text] [Related]
3. A logistic model to predict early pregnancy loss following in vitro fertilization based on 2601 infertility patients. Yi Y; Lu G; Ouyang Y; lin G; Gong F; Li X Reprod Biol Endocrinol; 2016 Mar; 14():15. PubMed ID: 27036944 [TBL] [Abstract][Full Text] [Related]
4. Prediction and feature selection of low birth weight using machine learning algorithms. Reza TB; Salma N J Health Popul Nutr; 2024 Oct; 43(1):157. PubMed ID: 39396025 [TBL] [Abstract][Full Text] [Related]
5. Individualized embryo selection strategy developed by stacking machine learning model for better in vitro fertilization outcomes: an application study. Xi Q; Yang Q; Wang M; Huang B; Zhang B; Li Z; Liu S; Yang L; Zhu L; Jin L Reprod Biol Endocrinol; 2021 Apr; 19(1):53. PubMed ID: 33820565 [TBL] [Abstract][Full Text] [Related]
6. Comparison of machine learning classification techniques to predict implantation success in an IVF treatment cycle. Yiğit P; Bener A; Karabulut S Reprod Biomed Online; 2022 Nov; 45(5):923-934. PubMed ID: 36088224 [TBL] [Abstract][Full Text] [Related]
7. Beyond black-box models: explainable AI for embryo ploidy prediction and patient-centric consultation. Luong TM; Ho NT; Hwu YM; Lin SY; Ho JY; Wang RS; Lee YX; Tan SJ; Lee YR; Huang YL; Hsu YC; Le NQ; Tzeng CR J Assist Reprod Genet; 2024 Sep; 41(9):2349-2358. PubMed ID: 38963605 [TBL] [Abstract][Full Text] [Related]
8. Comparative study of machine learning approaches integrated with genetic algorithm for IVF success prediction. Dehghan S; Rabiei R; Choobineh H; Maghooli K; Nazari M; Vahidi-Asl M PLoS One; 2024; 19(10):e0310829. PubMed ID: 39392832 [TBL] [Abstract][Full Text] [Related]
9. Predictive Modeling of Implantation Outcome in an In Vitro Fertilization Setting: An Application of Machine Learning Methods. Uyar A; Bener A; Ciray HN Med Decis Making; 2015 Aug; 35(6):714-25. PubMed ID: 24842951 [TBL] [Abstract][Full Text] [Related]
10. Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure. Qiu H; Luo L; Su Z; Zhou L; Wang L; Chen Y BMC Med Inform Decis Mak; 2020 May; 20(1):83. PubMed ID: 32357880 [TBL] [Abstract][Full Text] [Related]
11. Construction of a predictive model for radiation proctitis after radiotherapy for female pelvic tumors based on machine learning. Xie H; Gong M; Zhang J; Li Q Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2022 Aug; 47(8):1065-1074. PubMed ID: 36097774 [TBL] [Abstract][Full Text] [Related]
12. Embryo classification beyond pregnancy: early prediction of first trimester miscarriage using machine learning. Amitai T; Kan-Tor Y; Or Y; Shoham Z; Shofaro Y; Richter D; Har-Vardi I; Ben-Meir A; Srebnik N; Buxboim A J Assist Reprod Genet; 2023 Feb; 40(2):309-322. PubMed ID: 36194342 [TBL] [Abstract][Full Text] [Related]
13. Correlation between chromosomal distribution and embryonic findings on ultrasound in early pregnancy loss after IVF-embryo transfer. Ouyang Y; Tan Y; Yi Y; Gong F; Lin G; Li X; Lu G Hum Reprod; 2016 Oct; 31(10):2212-8. PubMed ID: 27614356 [TBL] [Abstract][Full Text] [Related]
14. Predicting pregnancy test results after embryo transfer by image feature extraction and analysis using machine learning. Chavez-Badiola A; Flores-Saiffe Farias A; Mendizabal-Ruiz G; Garcia-Sanchez R; Drakeley AJ; Garcia-Sandoval JP Sci Rep; 2020 Mar; 10(1):4394. PubMed ID: 32157183 [TBL] [Abstract][Full Text] [Related]
15. Fetal health status prediction based on maternal clinical history using machine learning techniques. Akbulut A; Ertugrul E; Topcu V Comput Methods Programs Biomed; 2018 Sep; 163():87-100. PubMed ID: 30119860 [TBL] [Abstract][Full Text] [Related]
16. Can machine learning predict pharmacotherapy outcomes? An application study in osteoporosis. Lin YT; Chu CY; Hung KS; Lu CH; Bednarczyk EM; Chen HY Comput Methods Programs Biomed; 2022 Oct; 225():107028. PubMed ID: 35930862 [TBL] [Abstract][Full Text] [Related]
18. Using feature optimization and LightGBM algorithm to predict the clinical pregnancy outcomes after Li L; Cui X; Yang J; Wu X; Zhao G Front Endocrinol (Lausanne); 2023; 14():1305473. PubMed ID: 38093967 [TBL] [Abstract][Full Text] [Related]
19. Application of machine learning algorithms in predicting HIV infection among men who have sex with men: Model development and validation. He J; Li J; Jiang S; Cheng W; Jiang J; Xu Y; Yang J; Zhou X; Chai C; Wu C Front Public Health; 2022; 10():967681. PubMed ID: 36091522 [TBL] [Abstract][Full Text] [Related]
20. Prediction of implantation after blastocyst transfer in in vitro fertilization: a machine-learning perspective. Blank C; Wildeboer RR; DeCroo I; Tilleman K; Weyers B; de Sutter P; Mischi M; Schoot BC Fertil Steril; 2019 Feb; 111(2):318-326. PubMed ID: 30611557 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]