Machine learning applications for COVID-19 outbreak management

A Heidari, N Jafari Navimipour, M Unal… - Neural Computing and …, 2022 - Springer
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted
practically every area of human life. Several machine learning (ML) approaches are …

Advanced machine learning techniques for cardiovascular disease early detection and diagnosis

NA Baghdadi, SM Farghaly Abdelaliem, A Malki… - Journal of Big Data, 2023 - Springer
The identification and prognosis of the potential for develo** Cardiovascular Diseases
(CVD) in healthy individuals is a vital aspect of disease management. Accessing the …

Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning

E ŞAHiN, NN Arslan, D Özdemir - Neural Computing and Applications, 2024 - Springer
Deep learning models have revolutionized numerous fields, yet their decision-making
processes often remain opaque, earning them the characterization of “black-box” models …

Abmm: Arabic bert-mini model for hate-speech detection on social media

M Almaliki, AM Almars, I Gad, ES Atlam - Electronics, 2023 - mdpi.com
Hate speech towards a group or an individual based on their perceived identity, such as
ethnicity, religion, or nationality, is widely and rapidly spreading on social media platforms …

[PDF][PDF] Machine learning innovations in early cardiovascular disease detection

MK Saini - DOI: https://dx. doi. org/10.21275/SR23101210074, 2023 - researchgate.net
Identifying and predicting the risk of Cardiovascular Diseases (CVD) in healthy individuals is
crucial for effective disease management. Leveraging extensive health data available in …

A robust classification approach to enhance clinic identification from Arabic health text

S Al-Fuqaha'a, N Al-Madi, B Hammo - Neural Computing and Applications, 2024 - Springer
Text classification has critical applications, including healthcare, where it can assist patients
in locating specialized clinics based on their symptom descriptions. This can enhance …

[HTML][HTML] SARIMA model-based forecasting required number of COVID-19 vaccines globally and empirical analysis of peoples' view towards the vaccines

A Malki, ES Atlam, AE Hassanien, A Ewis… - Alexandria Engineering …, 2022 - Elsevier
Recent studies regarding COVID-19 show a growing tendency to talk about the COVID-19
Pandemic on online channels. With the recent release of the Pfizer vaccine of COVID-19 …

360 Degrees rumor detection: When explanations got some explaining to do

B Janssens, L Schetgen, M Bogaert, M Meire… - European Journal of …, 2024 - Elsevier
Unverified rumor detection recently received considerable academic attention due to the
societal impact resulting from this potential misinformation. Previous work in this area mainly …

[HTML][HTML] SLM-DFS: A systematic literature map of deepfake spread on social media

ES Atlam, M Almaliki, G Elmarhomy, AM Almars… - Alexandria Engineering …, 2025 - Elsevier
In recent years, deepfakes (DFs)-realistically manipulated media created using artificial
intelligence—have raised significant concerns. As this technology evolves, the urgency for …

A systematic literature review on machine learning and deep learning-based covid-19 detection frameworks using X-ray Images

S Maheswari, S Suresh, SA Ali - Applied Soft Computing, 2024 - Elsevier
Coronavirus is an endangered disease to kills more than millions of people, but it has also
put tremendous pressure on the whole medical system. The initial stage of identification of …