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[HTML][HTML] Fuzzy neural network expert system with an improved Gini index random forest-based feature importance measure algorithm for early diagnosis of breast …
Breast cancer is one of the common malignancies among females in Saudi Arabia and has
also been ranked as the one most prevalent and the number two killer disease in the …
also been ranked as the one most prevalent and the number two killer disease in the …
Machine learning predictive models for coronary artery disease
Coronary artery disease (CAD) is the commonest type of heart disease and over 80% of the
deaths resulted from the diseases occurred in develo** countries including Nigeria, with …
deaths resulted from the diseases occurred in develo** countries including Nigeria, with …
Learning features using an optimized artificial neural network for breast cancer diagnosis
Breast cancer (BC) has been one of the significant causes of death worldwide, and its early
detection can play a vital role in increasing the survival rate of this disease. This paper …
detection can play a vital role in increasing the survival rate of this disease. This paper …
Intelligent reasoning rules for home energy management (IRRHEM): Algeria case study
Algeria is characterized by extreme cold in winter and high heat and humidity in summer.
This leads to an increase in the use of electrical appliances, which has a negative impact on …
This leads to an increase in the use of electrical appliances, which has a negative impact on …
Implementation of a Neuro‐Fuzzy‐Based Classifier for the Detection of Types 1 and 2 Diabetes
C Kaur, MS Al Ansari, VK Dwivedi… - Advances in Fuzzy …, 2024 - Wiley Online Library
In 2019, the death rate increased above 1.5 million throughout the globe due to diabetes,
according to data published by the Globe Health Organization, and it affected about 450 …
according to data published by the Globe Health Organization, and it affected about 450 …
Deep learning models for classification of brain tumor with magnetic resonance imaging images dataset
Brain tumor is known among the most aggressive diseases among adults and children
around the world. It is estimated that every year, more than 11,700 people around the world …
around the world. It is estimated that every year, more than 11,700 people around the world …
EXPERT SYSTEM WITH DEMPSTER-SHAFER METHOD FOR EARLY IDENTIFICATION OF DISEASES DUE TO COMPLICATIONS SYSTEMIC INFLAMMATORY …
Abstract Systemic Inflammatory Response Syndrome (SIRS) is a generalized inflammatory
condition, triggered by various factors such as infection or trauma, which can lead to serious …
condition, triggered by various factors such as infection or trauma, which can lead to serious …
Deep learning models for classification and localization of COVID-19 abnormalities on chest radiographs
COVID-19 pandemic is five times more deadly than flu and other disease. It causes serious
morbidity and mortality across the world. Like other pneumonias, pulmonary infection with …
morbidity and mortality across the world. Like other pneumonias, pulmonary infection with …
[PDF][PDF] Expert system for diagnosis of coronary artery disease: A survey
Y Atomsa, LJ Muhammad, FS Ishaq… - J Clin Images Med …, 2021 - researchgate.net
Abstract Coronary Artery Disease (CAD) is one of the most dangerous diseases which lead
to sudden cardiac death. The diagnosis of CAD is very expensive and time consuming …
to sudden cardiac death. The diagnosis of CAD is very expensive and time consuming …
[PDF][PDF] Feature selection based fuzzy expert system for efficient diagnosis of coronary artery disease
Y Atomsa, LJ Muhammad, FS Ishaq… - Journal of Clinical and …, 2022 - researchgate.net
Coronary artery disease (CAD) is one of the most dangerous diseases which lead to sudden
cardiac death. According to Word Health Organization, CAD is the number one killer in the …
cardiac death. According to Word Health Organization, CAD is the number one killer in the …