Prediction of Breast cancer survivability using semi supervised machine learning framework
Author:
Affiliation:
1. The Assam Kaziranga University,Department of Computer Science and Engineering,Jorhat,Assam
2. Assam Science and Technology University,Department of Computer Science and Engineering,Guwahati,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10670699/10670715/10670947.pdf?arnumber=10670947
Reference16 articles.
1. Predicting breast cancer survivability: a comparison of three data mining methods
2. A Semi-Supervised Learning Approach to Enhance Health Care Community–Based Question Answering: A Case Study in Alcoholism
3. Enhancing supervised learning with unlabeled data;Goldman
4. Feature Selection Based on Genetic Algorithm With Stochastic Disturbance Local Optimization
5. Clustering Analysis for Semi-supervised Learning Improves Classification Performance of Digital Pathology
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