… proteome subtype of diffuse gastric cancer for the first time, … vector machines as well as
integrated machine learning … with more and more potential biomarkers discovered by researchers …

… machine learning algorithms and to assess its clinical application value. Methods Serum
samples from 119 colon cancer … -3p is a potential biomarker of colon cancer. The model based …

… Methods: The gene sequencing data and clinical data of … with the prognosis of gastric
cancer. lncRNA prognostic model was constructed by machine learning-LASSO regression. …

… of machine learning technology in breast cancer radiogenomics, … of breast cancer and the
methods for obtaining breast cancer … Deep鄄 learning approach to identifying cancer subtypes …

… between oral bacteria and gastric cancer, aiming to provide a … noninvasive methods and
serve as a reference for … -based machine learning tool for the diagnosis of gastric cancer: a …

… methods of machine learning model building in precision nutrition, combined with the
application of machine learning in … with the application of machine learning can not only provide …

… Methods … can be used as metabolic biomarkers for gastric cancer diagnosis. The
combination of metabolomics and machine learning algorithms could help identify markers for …

… Signal processing and machinelearning approaches are … gastric cancer in the East Asian
subtype group and 37 strains in the Western subtype group. Two popular identification methods…

… Screening for gastric cancer can obviously increase the detection rate of gastric cancer, the
survival time was prolonged … This article reviews the progress of gastric cancer screening. …

… Colorectal cancer is a common malignant tumor of the digestive tract. The incidence and …
deep learning algorithms for detection of lymph node metastases in women with breast cancer […