Abstract
This paper reveals the research hotspots and development directions of case-based reasoning in the field of health care, and proposes the framework and key technologies of medical knowledge service systems based on case-based reasoning (CBR) in the big data environment. The 2124 articles on medical CBR in the Web of Science were visualized and analyzed using a bibliometrics method, and a CBR-based knowledge service system framework was constructed in the medical Internet of all people, things and data resources environment. An intelligent construction method for the clinical medical case base and the gray case knowledge reasoning model were proposed. A cloud-edge collaboration knowledge service system was developed and applied in a pilot project. Compared with other diagnostic tools, the system provides case-based explanations for its predicted results, making it easier for physicians to understand and accept, so that they can make better decisions. The results show that the system has good interpretability, has better acceptance than the common intelligent decision support system, and strongly supports physician auxiliary diagnosis and treatment as well as clinical teaching.
Highlights
According to a report of the World Health Organization in 2019, the world’s population aged over 60 years has exceeded 1 billion [1]
The rise of cloud computing, big data, artificial intelligence, and other aspects of the new generation of information technology enables the knowledge service system to effectively collect, store, process, and organize massive amounts of multisource and heterogeneous medical and health data, which helps improve the efficiency of disease diagnosis and the effectiveness of medical care [6,7]
case-based reasoning (CBR) knowledge service system can integrate general medical knowledge and clinical case knowledge and provide rich clinical expertise for primary and young physicians to assist with diagnosis and treatment and clinical thinking training [11]
Summary
According to a report of the World Health Organization in 2019, the world’s population aged over 60 years has exceeded 1 billion [1]. The rise of cloud computing, big data, artificial intelligence, and other aspects of the new generation of information technology enables the knowledge service system to effectively collect, store, process, and organize massive amounts of multisource and heterogeneous medical and health data, which helps improve the efficiency of disease diagnosis and the effectiveness of medical care [6,7]. A. CBR knowledge service system can integrate general medical knowledge and clinical case knowledge and provide rich clinical expertise for primary and young physicians to assist with diagnosis and treatment and clinical thinking training [11]. CBR knowledge service system can integrate general medical knowledge and clinical case knowledge and provide rich clinical expertise for primary and young physicians to assist with diagnosis and treatment and clinical thinking training [11] This could provide convenience for patients and save time and economic costs [17].
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