To deal with this problem, many approaches have been proposed. The main goal of our study is to figure out an efficient method to achieve a cancer diagnosis ...
The Case Study of CDS Based on Kernel Method and Genetic Approach. 755 cancer diagnosis and showed a better performance and more stable classification.
Sep 10, 2020 · In this paper, we first extract a novel dataset, which contains gene expression, miRNA expression, and isoform expression of five cancers from The Cancer ...
In this case, gene/feature selection becomes an elemental and essential task in data classification. In this paper, we propose a complete cancer diagnostic ...
Apr 27, 2023 · The FLN algorithm is a reliable classifier for diagnosing BC and may be useful for resolving other application-related problems in the healthcare sector.
This paper proposes a novel method for breast cancer diagnosis using the feature generated by genetic programming (GP).
To deal with this problem, many approaches have been proposed. The main goal of our study is to figure out an efficient method to achieve a cancer diagnosis ...
Jul 19, 2022 · This paper proposes the use of machine learning algorithms to assist breast cancer diagnosis, using a variety of algorithms such as LightGBM, Random Forests ( ...
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May 23, 2019 · We proposed a noble method, “kernel based gene shaving” which is based on the influence function of kernel canonical correlation analysis.
In this study, we propose a kernel orthogonal transform method for breast cancer diagnosis. We test our method using the widely used Wisconsin breast cancer ...