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KMID : 1150720200090010017
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Integrative Medicine Research
2020 Volume.9 No. 1 p.17 ~ p.20
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Statistical inference of acupoint specificity: forward and reverse inference
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Hwang Ye-Chae
Lee Ye-Seul
Ryu Yeon-Hee
Lee In-Seon
Chae Youn-Byoung
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Abstract
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Background: The acupoint specificity has been considered important issue in acupuncture research. In clinical aspects, it is essential to identify which acupoints are associated specifically with a particular disease. The present study aimed to identify the specificity of acupoint selection (forward inference) and the specificity of acupoint indication (reverse inference) from the online virtual diagnosis experiment.
Methods: Eighty Korean Medicine doctors conducted the virtual medical diagnoses provided for 10 different case reports. For forward inference, the acupoints prescribed for each disease were quantified and the data were normalised among 30 frequently used acupoints using Z-scores. For reverse inference, diseases for each acupoint were quantified and the data were normalized among 10 disease using Z-scores.
Results: Using forward inference we demonstrated the specificity of acupoint selection in each disease. Using reverse inference we identified the specificity of acupoint indication in each acupoint. In general, a certain acupoint can be selected specifically for a particular disease, and it has a specific indication for the disease. However, the specificity of acupoint indication and the specificity of acupoint selection are not always identical.
Conclusions: The selection of an acupoint for a particular disease does not imply that the acupoint has specific indications for that disease. Inferring the specificity of acupoint indication from clinical observations should be considered.
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KEYWORD
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Acupuncture, Bayesian inference, Indication, Specificity
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