Lung cancer prediction and analysis by regression models

Abstract

This paper is an essay about based on machine learning methods for patients with cancer probability prediction research, based on the existing machine learning just write and some of the cancer related information, dedicated to the study that can according to patients' basic living conditions, living habits, body external factors such as the age to the patient's cancer probability prediction, The aim is to allow patients to enter their own data at home to predict the incidence of cancer, so as to reduce the number of patients who come to hospital with advanced cancer. The machine learning methods adopted in this paper are mainly logistic regression and multiple linear regression, and the confounding matrix is used to verify the results, and finally the cancer-related information is obtained.