Sep 28, 2022 · Title:Mutual Information and Ensemble Based Feature Recommender for Renal Cancer Stage Classification. Authors:Abhishek Dey, Debayan Goswami ...
Sep 28, 2022 · A novel mutual information and ensemble based feature ranking approach considering the order of features obtained from 8 popular feature ...
... Mutual Information and Ensemble Based Feature Recommender for Renal Cancer Stage Classification | Kidney is an essential organ in human body. It maintains ...
Methods: A novel mutual information and ensemble-based feature ranking approach for identifying critical risk factors in healthcare prognosis is proposed.
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The ccRCC dataset is obtained from The Cancer Genome Atlas (TCGA). A novel mutual information and ensemble based feature ranking approach considering the order ...
We proposed a multi-agent feature selection model based on a comprehensive reward function that combines classification model performance, Shapley additive ...
Missing: Recommender | Show results with:Recommender
The results show that the MUTE-Reco method can help build highly accurate models for classifying different stages of ccRCC using just a subset of the most ...
The method is able to recommend all relevant critical risk factors for ccRCC. It also attains a higher accuracy (96.6% and 98.6% using support vector machine ...
This study proposes an approach to cancer classification from gene expression using ensemble learning with an influential feature selection technique based on ...
... TNM系统（由AJCC和UICC提出的）提到的3个区分特征中，我们提出的方法能够选择其中两个（肿瘤的大小，转移状态）作为顶部- 大多数。这确立了我们提出的方法的功效 ...
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