A machine learning system with reinforcement capacity for predicting the fate of an ART embryo

Autor: Elsa Labrune, Jacqueline Lornage, Mehdi Benchaib, Sandrine Giscard d'Estaing, Cecile Edel, Bruno Salle, Maxence Forcellini

Publikováno v: Systems Biology in Reproductive Medicine
Systems Biology in Reproductive Medicine, 2021, 67 (1), pp.64-78. ⟨10.1080/19396368.2020.1822953⟩

International audience; The aim of this work was to construct a score issued from a machine learning system with self-improvement capacity able to predict the fate of an ART embryo incubated in a time lapse monitoring (TLM) system. A retrospective st

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f50dad5a96dee6c5a5af06bb3fc0bc10
https://hal.archives-ouvertes.fr/hal-03454621