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

• Glavni autori: Claudio Michael Louis, SKom, BEng (Autor), Nining Handayani, DVM, MBiomed (Autor), Tri Aprilliana, BPH (Autor), Arie A. Polim, MD, SpOG, DMAS, MBHRE (Autor), Arief Boediono, DVM, PhD (Autor), Ivan Sini, MD, FRANZOG, GDRM, MMIS, SpOG (Autor)
• Format: Knjiga
• Izdano: Elsevier, 2023-02-01T00:00:00Z.
• Teme: article
• Online pristup: Connect to this object online.

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...