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

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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Bibliographic Details
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
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:AJOG Global Reports
Subjects:
clinical pregnancy
in vitro fertilization
machine learning
prediction model
single embryo transfer
Online Access:http://www.sciencedirect.com/science/article/pii/S2666577822000818

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