A comprehensive review of machine learning techniques on diabetes detection

T Sharma, M Shah - Visual Computing for Industry, Biomedicine, and Art, 2021 - Springer
Diabetes mellitus has been an increasing concern owing to its high morbidity, and the
average age of individual affected by of individual affected by this disease has now …

[PDF][PDF] A comprehensive survey on blockchain-based healthcare industry: Applications and challenges

SA Bennacer, K Sabiri, A Aaroud, K Akodadi… - Indones. J. Electr. Eng …, 2023 - academia.edu
Blockchain has attracted a lot of interest since its publication because to its unique
characteristics of immutability, decentralization, smart contract, and consensus mechanism …

NSL-MHA-CNN: a novel CNN architecture for robust diabetic retinopathy prediction against adversarial attacks

O Daanouni, B Cherradi, A Tmiri - IEEE Access, 2022 - ieeexplore.ieee.org
Convolution Neural Network (CNN) models have gained ground in research activities
particularly in medical images used for Diabetes Retinopathy (DR) detection. X-ray, MRI …

[PDF][PDF] Brain tumor detection using mri images and convolutional neural network

D Lamrani, B Cherradi, O El Gannour… - … Journal of Advanced …, 2022 - researchgate.net
A brain tumor is the cause of abnormal growth of cells in the brain. Magnetic resonance
imaging (MRI) is the most practical method for detecting brain tumors. Through these MRIs …

Performance evaluation of transfer learning technique for automatic detection of patients with COVID-19 on X-Ray images

O El Gannour, S Hamida, B Cherradi… - 2020 IEEE 2nd …, 2020 - ieeexplore.ieee.org
A new pandemic of coronavirus (COVID19) reported for the first time in Wuhan, China. This
new virus has spread rapidly around the world with fever, cough, and difficulty breathing …

Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique

S Saleh, B Cherradi, O El Gannour, S Hamida… - Multimedia Tools and …, 2024 - Springer
Parkinson's disease is the second most common neurological disorder that causes
significant physical disabilities, decreases the quality of life, and does not have a cure …

A classification algorithm-based hybrid diabetes prediction model

MO Edeh, OI Khalaf, CA Tavera, S Tayeb… - Frontiers in Public …, 2022 - frontiersin.org
Diabetes is considered to be one of the leading causes of death globally. If diabetes is not
treated and detected early, it can lead to a variety of complications. The aim of this study was …

Classification of patients with breast cancer using neighbourhood component analysis and supervised machine learning techniques

S Laghmati, B Cherradi, A Tmiri… - 2020 3rd …, 2020 - ieeexplore.ieee.org
Breast cancer is considered one of the leading causes of death among women. In morocco,
the ministry of health reports over 40.000 new cases each year. When lifestyle can be a …

[PDF][PDF] Convolutional neural network based classification of patients with pneumonia using X-ray lung images

H Moujahid, B Cherradi, OE Gannour… - Advances in Science …, 2020 - academia.edu
Analysis and classification of lung diseases using X-ray images is a primary step in the
procedure of pneumonia diagnosis, especially in a critical period as pandemic of COVID-19 …

[PDF][PDF] A fake news detection system based on combination of word embedded techniques and hybrid deep learning model

MA Ouassil, B Cherradi, S Hamida… - … Journal of Advanced …, 2022 - researchgate.net
At present, most people prefer using different online sources for reading news. These
sources can easily spread fake news for several malicious reasons. Detecting this unreliable …