S
Sumayh S. Aljameel
Researcher at University of Dammam
Publications - 29
Citations - 272
Sumayh S. Aljameel is an academic researcher from University of Dammam. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 4, co-authored 13 publications receiving 44 citations. Previous affiliations of Sumayh S. Aljameel include Manchester Metropolitan University.
Papers
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Journal ArticleDOI
Machine Learning-Based Model to Predict the Disease Severity and Outcome in COVID-19 Patients
TL;DR: In this article, the authors provided a prediction method for the early identification of COVID-19 patient's outcome based on patients' characteristics monitored at home, while in quarantine, and the results showed that RF outperformed the other classifiers with an accuracy of 0 95 and area under curve (AUC) of 0 99.
Journal ArticleDOI
A Sentiment Analysis Approach to Predict an Individual's Awareness of the Precautionary Procedures to Prevent COVID-19 Outbreaks in Saudi Arabia.
Sumayh S. Aljameel,Dina A. Alabbad,Norah A. Alzahrani,Shouq M. Alqarni,Fatimah A. Alamoudi,Lana M. Babili,Somiah K. Aljaafary,Fatima M. Alshamrani +7 more
TL;DR: A model that predicts an individual’s awareness of the precautionary procedures in five main regions in Saudi Arabia can support the medical sectors and decision-makers to decide the appropriate procedures for each region based on their attitudes towards the pandemic.
Journal ArticleDOI
Remote Diagnosis and Triaging Model for Skin Cancer Using EfficientNet and Extreme Gradient Boosting
Irfan Ullah Khan,Nida Aslam,Talha Anwar,Sumayh S. Aljameel,Mohib Ullah,Rafiullah Khan,Abdul Rehman,Nadeem Akhtar +7 more
TL;DR: In this article, the authors proposed an automated skin cancer diagnosis and triaging model and explored the impact of integrating clinical features in the diagnosis and enhance the outcomes achieved by the literature study.
Proceedings ArticleDOI
Development of an Arabic Conversational Intelligent Tutoring System for Education of children with ASD
TL;DR: A novel Arabic CITS that adapts the learning styles VAK for autistic children to enhance their learning is presented, aimed at children with autism who have reached a basic competency with the mechanics of Arabic writing.
Journal ArticleDOI
Computational Intelligence-Based Model for Mortality Rate Prediction in COVID-19 Patients.
Irfan Ullah Khan,Nida Aslam,Malak Saleh Aljabri,Sumayh S. Aljameel,Mariam Moataz Aly Kamaleldin,Fatima M. Alshamrani,Sara Mhd. Bachar Chrouf +6 more
TL;DR: In this paper, the authors used Machine Learning (ML) and Deep Learning (DL) models to predict the mortality rate in COVID-19 cases, with an accuracy of 0.97.