Fuzzy decision support systems to diagnose musculoskeletal disorders: A systematic literature review
Background and objective Musculoskeletal disorders (MSDs) are one of the most important
causes of disability with a high prevalence. The accurate and timely diagnosis of these …
causes of disability with a high prevalence. The accurate and timely diagnosis of these …
Evaluation of Single and Dual Image Object Detection through Image Segmentation Using ResNet18 in Robotic Vision Applications
P Chotikunnan, T Puttasakul… - Journal of Robotics …, 2023 - journal.umy.ac.id
This study presents a method for enhancing the accuracy of object detection in industrial
automation applications using ResNet18-based image segmentation. The objective is to …
automation applications using ResNet18-based image segmentation. The objective is to …
[PDF][PDF] Presenting an expert system for early diagnosis of gastrointestinal diseases
M Mirmozaffari - Int J Gastroenterol Sci, 2020 - gastroenterologyjournals.com
The gastrointestinal tract works by taking food, mechanically destroying, digesting,
absorbing and disposing of undigested substances. For many gastrointestinal specialists, it …
absorbing and disposing of undigested substances. For many gastrointestinal specialists, it …
[HTML][HTML] A fuzzy rule-based expert system for diagnosing cystic fibrosis
M Hassanzad, A Orooji, A Valinejadi… - Electronic …, 2017 - ncbi.nlm.nih.gov
Background Finding a valid diagnosis is mostly a prolonged process. Current advances in
the sector of artificial intelligence have led to the appearance of expert systems that enrich …
the sector of artificial intelligence have led to the appearance of expert systems that enrich …
A clinical decision support system with an integrated EMR for diagnosis of peripheral neuropathy
The prevalence of peripheral neuropathy in general population is ever increasing. The
diagnosis and classification of peripheral neuropathies is often difficult as it involves careful …
diagnosis and classification of peripheral neuropathies is often difficult as it involves careful …
[HTML][HTML] Design a fuzzy rule-based expert system to aid earlier diagnosis of gastric cancer
Objective: to develop a fuzzy expert system that can identify gastric cancer risk levels in
individuals. Methods: This system was implemented in MATLAB software, Mamdani …
individuals. Methods: This system was implemented in MATLAB software, Mamdani …
STIMF: a smart traffic incident management framework
SG Farrag, N Sahli, Y El-Hansali, EM Shakshuki… - Journal of Ambient …, 2021 - Springer
Non-recurrent congestion, which is mainly due to traffic incidents, may seriously impact the
performance and operation of a traffic system. Reacting quickly and in a uniform and …
performance and operation of a traffic system. Reacting quickly and in a uniform and …
Fuzzy expert system for coronary heart disease diagnosis in Jordan
AM Alqudah - Health and Technology, 2017 - Springer
According to recently published research survey, Coronary Heart Diseases (CHD) are
becoming a major severe health problem for Jordanians, where the number of deaths by …
becoming a major severe health problem for Jordanians, where the number of deaths by …
Design of a fuzzy input expert system visual information interface for classification of apnea and hypopnea
In this study, a Fuzzy input Expert System (FES) is developed to detect the patients' PSG
results to linguistic statements (apnea-hypopnea). All of the randomly selected 1318 PSG …
results to linguistic statements (apnea-hypopnea). All of the randomly selected 1318 PSG …
A decision-making system for Corona prognosis using fuzzy inference system
COVID-19, an epidemic disease, has challenged human lives all over the world.
Governments and scientific communities are trying their level best to help the masses. This …
Governments and scientific communities are trying their level best to help the masses. This …