The role of machine learning algorithms for diagnosing diseases

I Ibrahim, A Abdulazeez - Journal of Applied Science and Technology …, 2021 - jastt.org
Nowadays, machine learning algorithms have become very important in the medical sector,
especially for diagnosing disease from the medical database. Many companies using these …

Machine learning model for predicting malaria using clinical information

YW Lee, JW Choi, EH Shin - Computers in Biology and Medicine, 2021 - Elsevier
Background Rapid diagnosing is crucial for controlling malaria. Various studies have aimed
at developing machine learning models to diagnose malaria using blood smear images; …

[HTML][HTML] Polygenic risk score for cardiovascular diseases in artificial intelligence paradigm: a review

NN Khanna, M Singh, M Maindarkar… - Journal of Korean …, 2023 - synapse.koreamed.org
Cardiovascular disease (CVD) related mortality and morbidity heavily strain society. The
relationship between external risk factors and our genetics have not been well established. It …

[PDF][PDF] Combining CNN and Grad-Cam for COVID-19 Disease Prediction and Visual Explanation.

H Moujahid, B Cherradi, M Al-Sarem… - … Automation & Soft …, 2022 - academia.edu
With daily increasing of suspected COVID-19 cases, the likelihood of the virus mutation
increases also causing the appearance of virulent variants having a high level of replication …

Analysis and prediction of cardio vascular disease using machine learning classifiers

NK Kumar, GS Sindhu, DK Prashanthi… - 2020 6th International …, 2020 - ieeexplore.ieee.org
Cardio Vascular Disease (CVD) is, for the most part, alluding to conditions that include
limited or blocked veins that can prompt a heart attack, chest torment (angina) or stroke. The …

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 …

NE-nu-SVC: a new nested ensemble clinical decision support system for effective diagnosis of coronary artery disease

M Abdar, UR Acharya, N Sarrafzadegan… - Ieee …, 2019 - ieeexplore.ieee.org
Coronary artery disease (CAD) is one of the main causes of cardiac death around the world.
Due to its significant impact on the society, early and accurate detection of CAD is essential …

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 …

Nondestructive identification of soybean protein in minced chicken meat based on hyperspectral imaging and VGG16-SVM

J Sun, F Yang, J Cheng, S Wang, L Fu - Journal of Food Composition and …, 2024 - Elsevier
A rapid and nondestructive method for identification of soybean protein in minced chicken
meat based on visible-near infrared hyperspectral imaging (HSI) technology and VGG16 …