Biotechnical neural network system for predicting cardiovascular health state using processing of bio-signals
S Filist, RT Al-Kasasbeh… - … Journal of Medical …, 2024 - inderscienceonline.com
In this study, for the early diagnosis of cardiovascular diseases, a multimodal classifier is
built, in which three groups of heterogeneous data are used. The data is classified by …
built, in which three groups of heterogeneous data are used. The data is classified by …
Fuzzy-Based Bioengineering System for Predicting and Diagnosing Diseases of the Nervous System Triggered by the Interaction of Industrial Frequency …
NA Korenevskiy, RT Al-Kasasbeh… - Critical Reviews™ in …, 2024 - dl.begellhouse.com
The study aims to enhance the standard of medical care for individuals working in the
electric power industry who are exposed to industrial frequency electromagnetic fields and …
electric power industry who are exposed to industrial frequency electromagnetic fields and …
Prediction of health impacts of exposure to electromagnetic field on the immunity system of power plants workers using fuzzy decision-making rules
This study aims to enhance health assessments in environments with industrial risk factors
by incorporating oxidative status indicators, such as lipid peroxidation levels and antioxidant …
by incorporating oxidative status indicators, such as lipid peroxidation levels and antioxidant …
Hybrid Neural Network for the Differential Diagnosis of Pancreatic Diseases with Descriptors Determined by Bioimpedance Spectroscopy
RT Al-Kasasbeh, S Filist, D Reutov… - 2023 9th Annual …, 2023 - ieeexplore.ieee.org
We developed a method for forming descriptors based on the results of bioimpedance
spectroscopy, which forms the basis of a hybrid classifier. The hybrid classifier contains five …
spectroscopy, which forms the basis of a hybrid classifier. The hybrid classifier contains five …
Multilayer neuro-fuzzy network for monitoring the severity of community-acquired pneumonia in a telemedicine system
R Al-Kasasbeh, OM Al-Habahbeh… - … on electrical, energy …, 2023 - ieeexplore.ieee.org
A neuro-fuzzy classifier of the severity of out-of-hospital pneumonia based on the CRB-65
pneumonia risk scale was synthesized. The base of fuzzy decisive rules of the fuzzy logic …
pneumonia risk scale was synthesized. The base of fuzzy decisive rules of the fuzzy logic …
[HTML][HTML] Fuzzy information granulation towards benign and malignant lung nodules classification
F Amini, R Amjadifard, A Mansouri - Computer Methods and Programs in …, 2024 - Elsevier
Lung cancer is the second common cancer with the highest death rate in the world. Cancer
diagnosis in the early stages is a critical factor for increasing the treatment speed. This paper …
diagnosis in the early stages is a critical factor for increasing the treatment speed. This paper …
Algorithms of Internet of Things Systems for Ornithological Security Tasks
AN Ushkov, AM Ignatov, AM Cheparin… - 2024 International …, 2024 - ieeexplore.ieee.org
In modern conditions of intensive flights, when more than 120 thousand flights are
performed daily and more than 12 million people are transported, ensuring flight safety …
performed daily and more than 12 million people are transported, ensuring flight safety …
Penggunaan Logika Fuzzy dalam Deteksi Penyakit Kanker
A Yudhistira, A Wirasto - Jurnal Kolaborasi Riset Sarjana, 2024 - ejournal.uhb.ac.id
Cancer detection and treatment is a major challenge in global health. Fuzzy logic has
proven to be effective in overcoming uncertainty and ambiguity in medical data to improve …
proven to be effective in overcoming uncertainty and ambiguity in medical data to improve …