Improving the diagnosis of breast cancer using regularized logistic regression with adaptive elastic net
Early diagnosis of breast cancer helps improve the patient's chance of survival. Therefore, cancer classification and feature selection are important research topics in medicine and biology. Recently, the adaptive elastic net was used effectively for feature-based cancer classification, allowin...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Horizon Research Publishing
2021
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/95725/1/AiedhMrisi2021_ImprovingtheDiagnosisofBreastCancer.pdf http://eprints.utm.my/id/eprint/95725/ http://dx.doi.org/10.13189/ujph.2021.090514 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|