Predicting breast cancer 5-year survival using machine learning: A systematic review.

ABSTRACT:

Background

Accurately predicting the survival rate of breast cancer patients is a major issue for cancer researchers. Machine learning (ML) has attracted much attention with the hope that it could provide accurate results, but its modeling methods and prediction performance remain controversial. The aim of this systematic review is to identify and critically appraise current studies regarding the application of ML in predicting the 5-year survival rate of breast cancer.

Methods

In accordance with the PRISMA guidelines, two researchers independently searched the PubMed (including MEDLINE), Embase, and Web of Science Core databases from inception to November 30, 2020. The search terms included breast neoplasms, survival, machine learning, and specific algorithm names. The incl

SUBMITTER: Li J 

PROVIDER: S-EPMC8051758 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature