A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion

F Ali, S El-Sappagh, SMR Islam, D Kwak, A Ali… - Information …, 2020 - Elsevier
The accurate prediction of heart disease is essential to efficiently treating cardiac patients
before a heart attack occurs. This goal can be achieved using an optimal machine learning …

[HTML][HTML] Fuzzy logic and hybrid based approaches for the risk of heart disease detection: state-of-the-art review

J Kaur, BS Khehra - Journal of The Institution of Engineers (India): Series B, 2022 - Springer
Abstract Artificial Intelligence, Machine Learning, Fuzzy Logic, Neural Network, Genetic
Algorithm and their hybrid systems play vital role in the medical sciences to diagnose …

A Novel COVID‐19 Diagnosis Support System Using the Stacking Approach and Transfer Learning Technique on Chest X‐Ray Images

S Hamida, O El Gannour, B Cherradi… - Journal of …, 2021 - Wiley Online Library
COVID‐19 is an infectious disease‐causing flu‐like respiratory problem with various
symptoms such as cough or fever, which in severe cases can cause pneumonia. The aim of …

Classification and Prediction of atherosclerosis diseases using machine learning algorithms

O Terrada, B Cherradi, A Raihani… - 2019 5th International …, 2019 - ieeexplore.ieee.org
atherosclerosis disease is the major reason that increases the mortality rate around the
world. This ailment diagnosis becomes difficult due to the inattention of initial symptoms …

Computer-aided diagnosis system for early prediction of atherosclerosis using machine learning and K-fold cross-validation

B Cherradi, O Terrada, A Ouhmida… - 2021 international …, 2021 - ieeexplore.ieee.org
Atherosclerosis known as coronary artery disease (CAD) becomes epidemic in any society
that relies on an industrial-technological system with an associated behavioral alteration in …

[PDF][PDF] A novel approach for Parkinson's disease detection based on voice classification and features selection techniques

A Ouhmida, A Raihani, B Cherradi, O Terrada - Int. J. Onl. Eng., 2021 - academia.edu
Parkinson's disease (PD) is one of the most widespread diseases that, primarily, affects the
motor system of the neural central system. In fact, PD is characterized by tremors, stiffness of …

[HTML][HTML] Fuzzy based expert system for diagnosis of coronary artery disease in Nigeria

LJ Muhammad, EA Algehyne - Health and technology, 2021 - Springer
Expert system is an artificial intelligence based system that imitates the decision making
ability of human and it is used as the diagnostic tool for many diseases including diabetes …

[PDF][PDF] Supervised machine learning based medical diagnosis support system for prediction of patients with heart disease

O Terrada, S Hamida, B Cherradi… - Advances in Science …, 2020 - researchgate.net
Application in the field of medical development has always been one of the most important
research areas. One of these medical applications is the early prediction system for heart …

Machine learning based system for prediction of breast cancer severity

S Laghmati, A Tmiri, B Cherradi - … International Conference on …, 2019 - ieeexplore.ieee.org
Breast cancer is one of the most common diseases and the leading cause of death to mostly
females all over the world. Early detection can provide higher treatment efficiency and better …

Predicting diabetes diseases using mixed data and supervised machine learning algorithms

O Daanouni, B Cherradi, A Tmiri - … of the 4th International Conference on …, 2019 - dl.acm.org
Diabetes is considered as one of the deadliest and chronic diseases in several countries. All
of them are working to prevent this disease at early stage by diagnosing and predicting the …