典型文献
Biotechnical system based on fuzzy logic prediction for surgical risk classification using analysis of current-voltage characteristics of acupuncture points
文献摘要：
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 sensi-tivity 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.
文献关键词：
中图分类号：
作者姓名：
Sergey Filist;Riad Taha Al-Kasasbeh;Olga Shatalova;Nikolay Korenevskiy;Ashraf Shaqadan;Zeinab Protasova;Maksim Ilyash;Mikhail Lukashov
作者机构：
Department of Biomedical Engineering,Southwest State University,Kursk 305040,Russian Federation;Electrical Energy Department,Balqa Applied University,Amman 11937,Jordan;Civil Engineering Department,Zarqa University,Zarqa Governorate 13222,Jordan;Saint-Petersburg National Research University of Information Technologies,Mechanics and Optics,Saint-Petersburg 197101,Russian Federation;Pediatric Faculty,Kursk State Medical University,Kursk 305041,Russian Federation
文献出处：
引用格式：
[1]Sergey Filist;Riad Taha Al-Kasasbeh;Olga Shatalova;Nikolay Korenevskiy;Ashraf Shaqadan;Zeinab Protasova;Maksim Ilyash;Mikhail Lukashov-.Biotechnical system based on fuzzy logic prediction for surgical risk classification using analysis of current-voltage characteristics of acupuncture points)[J].结合医学学报（英文版）,2022(03):252-264
A类：
Biotechnical,tuples
B类：
system,fuzzy,prediction,surgical,classification,using,analysis,current,voltage,characteristics,acupuncture,points,Objective,This,study,aimed,expert,model,assist,physicians,postoperative,complications,prostatic,hyperplasia,before,surgery,Methods,method,risks,was,developed,effect,rotation,biologically,active,used,formation,descriptors,determined,reversible,changes,electrical,resistance,periodic,exposure,sawtooth,probe,Then,tested,success,treatment,benign,Results,Input,were,obtained,from,collected,data,including,composed,arrays,feeding,maximum,diagnostic,sensi,tivity,operation,control,sample,testing,set,accuracy,Conclusion,classifiers,could,satisfactory,can,valuable,tool,support,diagnosis
AB值：
0.472629
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