Firefly-SVM predictive model for breast cancer subgroup classification with clinicopathological parameters.

ABSTRACT:

Background

Breast cancer is a highly predominant destructive disease among women characterised with varied tumour biology, molecular subgroups and diverse clinicopathological specifications. The potentiality of machine learning to transform complex medical data into meaningful knowledge has led to its application in breast cancer detection and prognostic evaluation.

Objective

The emergence of data-driven diagnostic model for assisting clinicians in diagnostic decision making has gained an increasing curiosity in breast cancer identification and analysis. This motivated us to develop a breast cancer data-driven model for subtype classification more accurately.

Method

In this article, we proposed a firefly-support vector machine (SVM) breast cancer predictive model that

SUBMITTER: Sarkar S 

PROVIDER: S-EPMC10583530 | biostudies-literature | 2023 Jan-Dec

REPOSITORIES: biostudies-literature