Four-gene signature based on machine learning filtration could predict prognosis of patients with breast cancer.
Bo LiuHuina WangXin WangJunqi LongXujie ZhuangXinchan JiNian ZhuJinmeng LiTing GaoXuehui ZhangJiangyong YuShuangtao ZhaoPublished in: Expert Syst. J. Knowl. Eng. (2023)
Keyphrases
- breast cancer
- breast cancer patients
- machine learning
- cancer patients
- prognostic factors
- survival analysis
- early detection
- clinical diagnosis
- roc analysis
- outcome prediction
- breast cancer diagnosis
- diagnosis of breast cancer
- computer aided diagnosis
- cancer treatment
- logistic regression
- gene expression
- decision trees
- machine learning methods
- disease progression
- computer aided detection
- clinical data
- cancer datasets
- mammogram images
- data mining
- data analysis
- learning algorithm
- breast cancer detection
- cad systems
- microarray
- breast tissue
- feature selection
- gene expression data
- text mining