The process of automated prediction ... cancer detection using machine learning algorithms using lung cancer dataset from UCI Machine Learning Repository and Data World. Classifiers used were included ...

Methods: This study included elderly NSCLC patients who underwent radical lung cancer ... by the SVM model, with the DT model performing the poorest. Conclusion: The OSS-based clinical prediction ...

Fast forward to 2021, and specialized AI convolutional neural networks called the Lung Cancer Prediction ... machine-learning computer-aided diagnosis (CAD) model that was internally validated ...

Objective: To investigate the tongue image features of patients with lung cancer and benign pulmonary nodules and to construct a lung cancer risk warning model using machine learning ... build ...