Research on Case-Based Reasoning Based Decision Aid Technology for Disease Predetection Triage

Abstract In recent years, with the continuous development of medical technology, disease predetection and triage has become an important part of modern medical services. If the medical staff's disease predetection and triage of patients is inaccurate or not timely, it is likely to affect or even delay the treatment of patients, and will also bring negative effects and economic losses to the hospital. However, as an important medical resource, the medical experience of doctors needs long-term accumulation and precipitation, and many young medical personnel with junior experience do not have rich medical experience, which makes the efficiency and accuracy of disease predetection triage work cannot be guaranteed. The transformation and application of case-based reasoning technology in artificial intelligence provides the possibility to solve the above problems. The case-based reasoning technology for disease predetection and triage assisted decision making proposed in this paper is a kind of case-based reasoning technology in artificial intelligence, which provides doctors with recommendations for disease predetection and triage by analyzing and learning a large number of case data. This technology can help doctors diagnose diseases more accurately and quickly, improving the quality and efficiency of medical services.