Genetic algorithm–assisted machine learning for clinical pregnancy prediction in in vitro fertilizationAJOG Global Reports at a Glance

BACKGROUND: A clinical pregnancy prediction model was developed by implementing machine learning technology that uses a combination of static images and medical data to calculate the outcome of an in vitro fertilization cycle.OBJECTIVE: To provide a system that can accurately and sufficiently assist...

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發表在:	AJOG Global Reports
Main Authors:	Claudio Michael Louis, SKom, BEng, Nining Handayani, DVM, MBiomed, Tri Aprilliana, BPH, Arie A. Polim, MD, SpOG, DMAS, MBHRE, Arief Boediono, DVM, PhD, Ivan Sini, MD, FRANZOG, GDRM, MMIS, SpOG
格式:	Article
語言:	英语
出版:	Elsevier 2023-02-01
主題:	clinical pregnancy in vitro fertilization machine learning prediction model single embryo transfer
在線閱讀:	http://www.sciencedirect.com/science/article/pii/S2666577822000818