Application of fuzzy neural network model and current-voltage analysis of biologically active points for prediction post-surgery risks

Author:

Shatalova Olga1,Filist Sergey1,Korenevskiy Nikolay1,Taha Al-kasasbeh Riad2,Shaqadan Ashraf3,Protasova Zeinab1,Ilyash Maksim4,Rybochkin Anatoly5

Affiliation:

1. Department of Biomedical Engineering, Southwest State University, Kursk, Russian Federation

2. Electrical Engineering Department, Balqa Applied University

3. Civil Engineering Department, Zarqa University

4. Mechanics and Optics, Saint-Petersburg National Research University of Information Technologies, Russian Federation

5. Department of Space Instrumentation Tel, Southwestern State University, Kursk, Russian Federation

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Technologies of Bioimpedance Spectroscopy in Decision Support Systems for the Diagnosis of Socially Significant Diseases;Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering;2024-01-24

2. Fuzzy-Based Bioengineering System for Predicting and Diagnosing Diseases of the Nervous System Triggered by the Interaction of Industrial Frequency Electromagnetic Fields;Critical Reviews in Biomedical Engineering;2024

3. Using Fuzzy Mathematical Model in the Differential Diagnosis of Pancreatic Lesions Using Ultrasonography and Echographic Texture Analysis;Critical Reviews in Biomedical Engineering;2024

4. Multilayer Neuro-Fuzzy Network for Monitoring the Severity of Community-Acquired Pneumonia in a Telemedicine System;2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI);2023-12-27

5. Early Diagnosis of Pesticide-Induced Diseases through Computerized Decision Support System and Assessment of Body Acupuncture Points Response;2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI);2023-12-27

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