Research on Machine Learning and Intelligent Decision Support System Based on Risk Prediction

Abstract

Decision Support System (DSS) is a new technology developed in recent years. Intelligent Decision Support System (IDSS) is the product of the combination of management decision science, operational research, computer science and artificial intelligence. For decision-makers, it takes a long time to accumulate experience to reach a rich enough level of decision-making. On the other hand, the decision-making process is also influenced to a great extent by the subjective consciousness of the decision-maker and the interference of external factors, which makes it easy to make analysis with large deviation, and then affects the accuracy of decision-making. With its powerful ability to learn data automatically, extract complex patterns and make intelligent decisions, machine learning method has attracted more and more attention in biomedical and financial research fields, providing a new way to effectively solve decision support problems in these fields. Based on risk prediction, this paper analyzes the application of machine learning method in intelligent decision support system.