Back to search

Article

A novel SVM Kernel Classifier Technique using Support Vector Machine for Breast Cancer Classification

2023-04-24

Abstract excerpt

Breast cancer prediction is an important topic in the field of healthcare. Breast cancer is one of the most common cancers in women and early detection is critical for successful treatment. There are several methods for predicting breast cancer, including imaging studies, genetic testing, and risk assessment models. Early detection can greatly improve the chances of successful treatment and long-term survival. One...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
fa32fff4-5ef1-57b6-a11d-c449d302d717
DOI
10.21203/rs.3.rs-2820379/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 10 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A novel SVM Kernel Classifier Technique using Support Vector Machine for Breast Cancer ClassificationDOI 10.21203/rs.3.rs-2820379/v1
Select a neighboring publication to make it the new centre.