The (decision) tree of fertility: an innovative decision-making algorithm in assisted reproduction technique.

Maria Teresa VillaniDaria Morini Giorgia SpaggiariChiara FuriniBeatrice Melli Alessia NicoliFrancesca IannottiGiovanni Battista La Sala Manuela Simoni Lorenzo Aguzzoli Daniele Santi

Published in: Journal of assisted reproduction and genetics (2022)

A systematic approach allows to identify OF17, female age, and sperm motility as pre-retrieval predictors of ART outcome, possibly reducing the socio-economic burden of ART failure, allowing the clinician to perform or not the oocytes pick-up.

Keyphrases

decision making
hiv infected
antiretroviral therapy
machine learning
deep learning
biofilm formation
young adults
neural network
pseudomonas aeruginosa
candida albicans