Characterization of hidden rules linking symptoms and selection of acupoint using an artificial neural network model

AbstractComprehension of the medical diagnoses of doctors and treatment of diseases is important to understand the underlying principle in selecting appropriate acupoints. The pattern recognition process that pertains to symptoms and diseases and informs acupuncture treatment in a clinical setting was explored. A total of 232 clinical records were collected using a Charting Language program. The relationship between symptom information and selected acupoints was trained using an artificial neural network (ANN). A total of 11 hidden nodes with the highest average precision score were selected through a tenfold cross-validation. Our ANN model could predict the selected acupoints based on symptom and disease information with an average precision score of 0.865 (precision, 0.911; recall, 0.811). This model is a useful tool for diagnostic classification or pattern recognition and for the prediction and modeling of acupuncture treatment based on clinical data obtained in a real-world setting. The relationship between symptoms and selected acupoints could be systematically characterized through knowledge discovery processes, such as pattern identification.
Source: Frontiers of Medicine - Category: General Medicine Source Type: research

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Abstract Acupuncture has been broadly applied in the management of many diseases and conditions; however, its mechanism of action has been partially elucidated. Additionally, assessment of psychophysical responses in the acupuncture therapy is not common regarding anxiety disorder studies. Taken together, the therapeutic effect of acupuncture appears when De Qi psychophysical response is experienced following stimulation of the afferent sensory nerves. The present study investigates the level of anxiety perceived at different occasions in acupuncture and mock laser group. Furthermore, it examines the relationship ...
Source: Complementary Therapies in Medicine - Category: Complementary Medicine Authors: Tags: Complement Ther Med Source Type: research
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Source: Complementary Therapies in Medicine - Category: Complementary Medicine Authors: Tags: Complement Ther Med Source Type: research
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Source: International Journal of Medical Sciences - Category: Biomedical Science Tags: Int J Med Sci Source Type: research
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Source: World Journal of Acupuncture Moxibustion - Category: Complementary Medicine Source Type: research
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Source: Chinese Journal of Integrative Medicine - Category: Internal Medicine Source Type: research
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Source: Autonomic Neuroscience - Category: Neuroscience Authors: Tags: Auton Neurosci Source Type: research
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Source: Journal of Pediatric Urology - Category: Urology & Nephrology Authors: Source Type: research
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Source: NeuroImage: Clinical - Category: Radiology Source Type: research
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Source: Health News from Medical News Today - Category: Consumer Health News Tags: Breast Cancer Source Type: news
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Source: Trials - Category: General Medicine Authors: Tags: Study protocol Source Type: research
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