Predictive model of prognosis index for invasive micropapillary carcinoma of the breast based on machine learning: a SEER population-based study.

ABSTRACT:

Background

Invasive micropapillary carcinoma (IMPC) is a rare subtype of breast cancer. Its epidemiological features, treatment principles, and prognostic factors remain controversial.

Objective

This study aimed to develop an improved machine learning-based model to predict the prognosis of patients with invasive micropapillary carcinoma.

Methods

A total of 1123 patients diagnosed with IMPC after surgery between 1998 and 2019 were identified from the Surveillance, Epidemiology, and End Results (SEER) database for survival analysis. Univariate and multivariate analyses were performed to explore independent prognostic factors for the overall and disease-specific survival of patients with IMPC. Five machine learning algorithms were developed to predict the 5-year surviva

SUBMITTER: Jiang Z 

PROVIDER: S-EPMC11428430 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature