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Genetic algorithm–assisted machine learning for clinical pregnancy prediction in in vitro fertilization
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 assis...
Autores principales: | Louis, Claudio Michael, Handayani, Nining, Aprilliana, Tri, Polim, Arie A., Boediono, Arief, Sini, Ivan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758485/ https://www.ncbi.nlm.nih.gov/pubmed/36536794 http://dx.doi.org/10.1016/j.xagr.2022.100133 |
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