Machine Learning Approach to Predict Clinical Pregnancy Potential in Women Undergoing IVF Program

Machine Learning Approach to Predict Clinical Pregnancy Potential in Women Undergoing IVF Program

Objective: Hidden knowledge could be discovered within a large practical data of in vitro fertilization (IVF) practice. In this study, Machine learning-based data mining techniques were utilized to construct a reliable prediction model for clinical pregnancy in IVF. Study Design: A retrospective coh...

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Bibliographic Details
Main Authors: Nining Handayani, Claudio Michael Louis, Alva Erwin, Tri Aprilliana, Arie A Polim, Batara Sirait, Arief Boediono, Ivan Sini
Format: Article
Language:English
Published: World Scientific Publishing 2022-06-01
Series:Fertility & Reproduction
Subjects:
In Vitro Fertilization
Prediction Model
Decision Tree
Machine Learning
Artificial Intelligence
Online Access:https://www.worldscientific.com/doi/10.1142/S2661318222500098

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