Novel models by machine learning to predict prognosis of breast cancer brain metastases.

ABSTRACT:

Background

Breast cancer brain metastases (BCBM) are the most fatal, with limited survival in all breast cancer distant metastases. These patients are deemed to be incurable. Thus, survival time is their foremost concern. However, there is a lack of accurate prediction models in the clinic. What's more, primary surgery for BCBM patients is still controversial.

Methods

The data used for analysis in this study was obtained from the SEER database (2010-2019). We made a COX regression analysis to identify prognostic factors of BCBM patients. Through cross-validation, we constructed XGBoost models to predict survival in patients with BCBM. Meanwhile, a BCBM cohort from our hospital was used to validate our models. We also investigated the prognosis of patients treated with surger

SUBMITTER: Li C 

PROVIDER: S-EPMC10286496 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature