A practical review and taxonomy of fuzzy expert systems: methods and applications

M Tavana, V Hajipour - Benchmarking: An International Journal, 2020 - emerald.com
Purpose Expert systems are computer-based systems that mimic the logical processes of
human experts or organizations to give advice in a specific domain of knowledge. Fuzzy …

Current review and next steps for artificial intelligence in multiple sclerosis risk research

M Hartmann, N Fenton, R Dobson - Computers in Biology and Medicine, 2021 - Elsevier
In the last few decades, the prevalence of multiple sclerosis (MS), a chronic inflammatory
disease of the nervous system, has increased, particularly in Northern European countries …

[HTML][HTML] Intelligent computer systems for multiple sclerosis diagnosis: a systematic review of reasoning techniques and methods

LA Arani, A Hosseini, F Asadi, SA Masoud… - Acta Informatica …, 2018 - ncbi.nlm.nih.gov
Objective: Intelligent computer systems are used in diagnosing Multiple Sclerosis and help
physicians in the accurate and timely diagnosis of the disease. This study focuses on a …

Rule extraction for fuzzy expert system to diagnose coronary artery disease

WM Baihaqi, NA Setiawan… - 2016 1st International …, 2016 - ieeexplore.ieee.org
In many cases, Coronary artery disease (CAD) results in death. CAD occurs when
atherosclerosis blocks the bloodstream to the heart muscle in the coronary arteries. In order …

Fuzzy rule-based expert system for diagnosis of thyroid disease

SA Biyouki, IB Turksen… - 2015 IEEE Conference on …, 2015 - ieeexplore.ieee.org
The diseases in glands of human bodies have been increased with high rate in the last
decade. Thyroid is one of these glands that its disease has spread worldwide. The main …

Fuzzy rule based expert system for diagnosis of lung cancer

FV Farahani, MHF Zarandi… - 2015 Annual Conference …, 2015 - ieeexplore.ieee.org
Lung cancer is the second most common cancer in both men and women in the world. The
focus of this paper is to design a fuzzy rule based medical expert system for diagnosis of …

An analytical review on the use of artificial intelligence and machine learning in diagnosis, prediction, and risk factor analysis of multiple sclerosis

S Pilehvari, Y Morgan, W Peng - Multiple Sclerosis and Related Disorders, 2024 - Elsevier
Medical research offers potential for disease prediction, like Multiple Sclerosis (MS). This
neurological disorder damages nerve cell sheaths, with treatments focusing on symptom …

Automatic detection of multiple sclerosis lesions using Mask R‐CNN on magnetic resonance scans

M Süleyman Yıldırım, E Dandıl - IET Image Processing, 2020 - Wiley Online Library
Multiple Sclerosis (MS) causes the central nervous system to malfunction due to
inflammation surrounding nerve cells. Detection of MS at an early stage is very important to …

Correlation between drinking water fluoride and TSH hormone by ANNs and ANFIS

Z Kheradpisheh, AH Mahvi, M Mirzaei… - … of Environmental Health …, 2018 - Springer
Abstract Background Artificial neural networks (ANNs) and adaptive neural-fuzzy Inference
system (ANFIS) are the best solutions to finding the correlation between some water …

Fuzzy decision tree for breast cancer prediction

MJ Domingo, BD Gerardo, RP Medina - Proceedings of the 1st …, 2019 - dl.acm.org
Medical errors are considered as the leading cause of death and injury. Breast cancer
becomes one of the leading causes of death among women, not only in the Philippines but …