机器学习
支持向量机
随机森林
人工智能
阿达布思
朴素贝叶斯分类器
感知器
多层感知器
计算机科学
乳腺癌
决策树
人工神经网络
癌症
医学
内科学
作者
Mitra Montazeri,Mitra Montazeri,Mohadeseh Montazeri,Mohadeseh Montazeri,Mahdieh Montazeri,Mahdieh Montazeri,Amin Beigzadeh
摘要
This study demonstrates that Trees Random Forest model (TRF) which is a rule-based classification model was the best model with the highest level of accuracy. Therefore, this model is recommended as a useful tool for breast cancer survival prediction as well as medical decision making.
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