Exploring the Use of Machine Learning in Healthcare Prediction.

Abstract

The development process of modern society is accelerated, and at the same time, people’s need for medical care deepens. The main purpose of this study is to summarize the general situation of the current application of machine learning in medical prediction. This paper mainly analyzes the current situation of the application of machine learning models as well as the existence of problems by dissecting the current situation of the application of machine learning models and carries out a comprehensive analysis of its features. It focuses on analyzing the issues in the application of machine learning in disease prediction in imaging diagnosis, cancer risk assessment, cancer recurrence prediction, and mental illness prediction and make an arrangement summary about the current status of machine learning models in various healthcare prediction domains and owning characteristics. The ultimate goal of this paper is to conclude the extent to which machine learning models can play a role in the context of the current continuous development of medical technology.

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