Using Machine Learning to Predict Complications in Pregnancy: A Systematic Review.

ABSTRACT: Introduction: Artificial intelligence is widely used in medical field, and machine learning has been increasingly used in health care, prediction, and diagnosis and as a method of determining priority. Machine learning methods have been features of several tools in the fields of obstetrics and childcare. This present review aims to summarize the machine learning techniques to predict perinatal complications. Objective: To identify the applicability and performance of machine learning methods used to identify pregnancy complications. Methods: A total of 98 articles were obtained with the keywords "machine learning," "deep learning," "artificial intelligence," and accordingly as they related to perinatal complications ("complications in pregnancy," "pregnancy complicatio

SUBMITTER: Bertini A 

PROVIDER: S-EPMC8807522 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature