Embryo Quality and in Vitro Fertilization Outcome Prediction Using Machine Learning and Explainability

Other

Abstract: Evaluation of embryo quality is crucial for the success of implantation and the rate of live birth i

Palabras claves:

Embryo quality, Machine Learning, random forest, SHAP, XAI

Autores:

Alisson Constantine, Ana Tapia-Rosero, Edson Lo Turco, Edwin Valarezo Anazco, Enrique Pelaez, Fernanda Bertuccez Cordeiro, Fernando Prado Ferreira, Francis Roderich Loayza Paredes

Fuentes:

scopus