Author

Hamza A. Mashagba

Multimedia UniversityORCID 0000-0002-2952-2617Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Areen M. ArabiatiD· 1 shared Azlan Bin Abd.AziziD· 1 shared Hamza Abu OwidaiD· 1 shared Nawaf AlshdaifatiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperCancer Biology

Areen M. ArabiatORCID

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1 paper

Recent·Most cited

Cancer BiologybioRxivPreprintAug 25, 2026

Artificial Intelligence Model: Optimizing Cancer Risk Level Predictions Using Machine learning and deep learning approaches

Areen M. Arabiat, Hamza Abu Owida, Nawaf Alshdaifat…·Azlan Bin Abd.Aziz

This study uses ML and DL models to predict cancer risk using a Kaggle dataset, finding that Random Forest achieves high accuracy in risk classification.

DOI 10.64898/2026.08.20.745910

machine learning (classical)deep learning

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