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

• Главные авторы: Claudio Michael Louis, SKom, BEng (Автор), Nining Handayani, DVM, MBiomed (Автор), Tri Aprilliana, BPH (Автор), Arie A. Polim, MD, SpOG, DMAS, MBHRE (Автор), Arief Boediono, DVM, PhD (Автор), Ivan Sini, MD, FRANZOG, GDRM, MMIS, SpOG (Автор)
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• Опубликовано: Elsevier, 2023-02-01T00:00:00Z.
• Предметы: article
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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...