The application value of Bayes′ theorem in diagnostic clinical reasoning training
DONG Jiaqiang1 WANG Rui2 ZHANG Wenyao3
1.Xijing Hospital of Digestive Diseases, Air Force Medical University State Key Laboratory of Cancer Biology, Shannxi Province, Xi′an 710032, China;
2.Department of Anesthesiology, the First Affiliated Hospital of Xi′an Jiaotong University, Shannxi Province, Xi′an 710061, China;
3.the 10th Squadron of the 3rd Brigade, School of Basic Medicine, Air Force Medical University, Shannxi Province, Xi′an 710032, China
Abstract：Clinical diagnostic thinking is a process of making diagnostic decisions based on the collection and analysis of diagnostic clues. In the traditional teaching of diagnostics, the collection of diagnostic evidence is often emphasized, while the training of diagnostic evidence analysis and diagnosis decision-making is neglected. From the perspective of cognition, diagnostic analysis and decision-making involve complex neuropsychological activities and accumulation of experience, which often have significant individual differences. Therefore, it is of great significance to add the theory teaching of evidence analysis and diagnosis decision formation in diagnosis teaching to improve the training efficiency of diagnosis thinking. This paper analyzes the application value of bayesian statistics in diagnosis analysis and decision making.
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2019, Vol. 16 
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