An ensemble machine learning model based on multiple filtering and supervised attribute clustering algorithm for classifying cancer samples.

ABSTRACT:

Background

Machine learning is one kind of machine intelligence technique that learns from data and detects inherent patterns from large, complex datasets. Due to this capability, machine learning techniques are widely used in medical applications, especially where large-scale genomic and proteomic data are used. Cancer classification based on bio-molecular profiling data is a very important topic for medical applications since it improves the diagnostic accuracy of cancer and enables a successful culmination of cancer treatments. Hence, machine learning techniques are widely used in cancer detection and prognosis.

Methods

In this article, a new ensemble machine learning classification model named Multiple Filtering and Supervised Attribute Clustering algorithm based Ensembl

SUBMITTER: Bose S 

PROVIDER: S-EPMC8459790 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature