Biotechnical system based on fuzzy logic prediction for surgical risk classification using analysis of current-voltage characteristics of acupuncture points / 中西医结合学报
Journal of Integrative Medicine
;
(12): 252-264, 2022.
Article
in English
| WPRIM
| ID: wpr-929227
ABSTRACT
OBJECTIVE@#This study aimed to develop expert fuzzy logic model to assist physicians in the prediction of postoperative complications of prostatic hyperplasia before surgery.@*METHODS@#A method for classification of surgical risks was developed. The effect of rotation of the current-voltage characteristics at biologically active points (acupuncture points) was used for the formation of classifier descriptors. The effect determined reversible and non-reversible changes in electrical resistance at acupuncture points with periodic exposure to a sawtooth probe current. Then, the developed method was tested on the prediction of the success of surgical treatment of benign prostatic hyperplasia.@*RESULTS@#Input descriptors were obtained from collected data including current-voltage characteristics of 5 acupuncture points and composed of 27 arrays feeding in the model. The maximum diagnostic sensitivity of the classifier for the success of a surgical operation in the control sample was 88% and for testing data set prediction accuracy was 97%.@*CONCLUSION@#The use of tuples of current-voltage characteristic descriptors of acupuncture points in the classifiers could be used to predict the success of surgical treatment with satisfactory accuracy. The model can be a valuable tool to support physicians' diagnosis.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Acupuncture Points
/
Acupuncture Therapy
/
Fuzzy Logic
Type of study:
Etiology study
/
Prognostic study
Language:
English
Journal:
Journal of Integrative Medicine
Year:
2022
Type:
Article
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