Liver Cancer Classification Using Random Forest and Extreme Gradient Boosting (XGBoost) with Genetic Algorithm as Feature Selection
Author:
Affiliation:
1. University of Indonesia,Department of Mathematics,Depok,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9681917/9681918/09682311.pdf?arnumber=9682311
Reference28 articles.
1. Predicting Diabetes Mellitus With Machine Learning Techniques
2. Osteoarthritis Disease Prediction Based on Random Forest
3. Five-Feature Model for Developing the Classifier for Synergistic vs. Antagonistic Drug Combinations Built by XGBoost
4. A Random Forest Classifier based on Genetic Algorithm for Cardiovascular Diseases Diagnosis
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