Author

El Mehdi Chouit

Institution: Institut National des Postes et Télécommunications

Observed institution: Institut National des Postes et Télécommunications

ORCID: 0000-0003-0062-1694

Observed ORCID: 0000-0003-0062-1694

OpenAlex ID: A5039719191

Interpretable machine learning for chronic kidney disease prediction: Insights from SHAP and LIME analyses

2026 · El Mehdi Chouit, Mohamed Rachdi, et al. · PLoS ONE · 13

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Forecasting of the epidemiological situation: Case of COVID-19 in Morocco

2022 · El Mehdi Chouit, Mohamed RACHDI, et al. · Journal of the Nigerian Society of Physical Sciences · 8

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Harnessing the Power of Artificial Intelligence and the Internet of Things for Improved Epidemic Forecasting

2024 · El Mehdi Chouit, Mohamed Rachdi, et al. · Advances in environmental engineering and green technologies book series · 3

Morocco's COVID-19 instance as a potential epidemiological scenario

2023 · El Mehdi Chouit, Mohamed Rachdi, et al. · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) · 3

Iot enabled machine learning for early chronic kidney disease detection with a comparative study of feature selection and dimensionality reduction

2026 · El Mehdi Chouit, Mohamed Rachdi, et al. · Discover Applied Sciences

Interpretable Machine Learning for Chronic Kidney Disease Prediction Using Clinical Data

2026 · El Mehdi Chouit, Mohamed Rachdi, et al. · Lecture notes in networks and systems

Review of: "Quantile regression for identifying latent structures in COVID-19 pandemic – Examples from Nepal"

2023 · El Mehdi Chouit · Qeios

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Works count: 7

Citation count: 27

H-index: 3

I10-index: 1