基于随机森林算法的癌症数据预测

ABSTRACTABSTRACTIn recent years,The use of machine learning and in-depth learning technologies in alllife environments has promoted the intelligent development of these areas.Furthermore,disease prognosis has a significant impact on people's daily life,work and research.Theapplication of computer technology in medical disease prediction has become a hot spot ofcurrent research.The explosive growth of medical data has established a huge medicaldatabase,which has potential practical value.With the continuous development and maturityof big data analysis technology represented by deep learning,big data analysis technologyhas been deeply combined with medical and health field.The main task of this project is todesign a cancer data prediction system based on random forest algorithm through Pythondevelopment environment,collect the parameter information of patients'tumor perimeter,radius,area and so on,and build a random forest model to train the model,so as to predictpatients'condition in real time.The system can predict the death risk of patients,comprehensively analyze the internal relationship between information,and play a key role inthe prevention of cancer patients.Keywords:Random forest;Data mining;Cancer prediction;machine learning