Auxiliary Tumor Treatment using Support Vector Machine and Decision Tree Classifiers

Abstract

These years, with artificial intelligence and machine learning becoming the hotspot of research,
several applications have emerged in each of these areas. It exists not only as a kind of academic
frontier but also something close to our life. In this trend, the combination of medical care and
machine learning becomes more and more tighter. The proposal of its main idea also greatly
alleviated the existing situation of unbalanced medical distribution and resources strain. This paper
summarizes some application of machine learning and auxiliary tumor treatment in the process of
medical resource allocation and puts forward some new methods of application to realize it closer to
human life in the era of artificial intelligence and the explores a good situation of mutual combination
of medical industry and computer industry, which is benefit both.