关键词: 医疗决策支持, 机器学习, 疾病智能诊断, 疾病风险预测

Abstract: Using the massive clinical data in the field of health care to support the decision making of auxiliary medicine, is the core technology and an inevitable development trend of intelligent medicine. Medical decision support mainly includes disease risk prediction and intelligent diagnosis. Based on clinical accumulation and real-time acquisition of multiple data sources, it realizes classification of patients’ disease types or prediction of disease risks through multiple machine learning algorithms. Based on the concept and method framework of medical decision support, this paper summarizes the current machine learning diagnosis and prediction methods according to different disease types, introduces the characteristics and differences of these methods, and analyzes the existing challenges and future development.

Key words: medical decision support, machine learning, intelligent diagnosis of disease, disease risk prediction