Prediction of one-year recurrence among breast cancer patients undergone surgery using artificial intelligence-based algorithms: a retrospective study on prognostic factors.

ABSTRACT:

Background and aim

Breast cancer is highly prevalent, with an increasing trend in women globally. Although the survival of breast cancer is relatively high, the recurrence rate is also high, demanding effective predictive solutions to breast cancer prognosis among post-operative patients. So far, Artificial intelligence algorithms integrated with various clinical data have demonstrated potential predictive capability regarding breast cancer recurrence.

Objective

This study aims to specifically conduct a predictive analysis of one-year recurrence of breast cancer by comparing and analyzing different machine learning and deep learning algorithms trained by structural prognostic data.

Materials and methods

This retrospective study was carried out using one database, incl

SUBMITTER: Nopour R 

PROVIDER: S-EPMC12105147 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature