Alaa Alahmadi
University of Dammam
15 Papers
33 Citations
Alaa Alahmadi is an academic researcher from University of Dammam. The author has contributed to research in topics: Computer science & Bag-of-words model. The author has an hindex of 4, co-authored 8 publications. Previous affiliations of Alaa Alahmadi include University of Limerick.
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Papers
Preemptive Diagnosis of Chronic Kidney Disease Using Machine Learning Techniques
Reem A. Alassaf,Khawla A. Alsulaim,Noura Y. Alroomi,Nouf S. Alsharif,Mishael F. Aljubeir,Sunday O. Olatunji,Alaa Alahmadi,Mohammed Imran,Rahma A. Alzahrani,Nora S. Alturayeif +9 more
- 01 Nov 2018
TL;DR: This study aims to decrease the number of patients and the expenses needed for treatment by preemptively diagnosing chronic kidney disease accurately using data mining and machine learning techniques.
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A new text representation scheme combining Bag-of-Words and Bag-of-Concepts approaches for automatic text classification
Alaa Alahmadi,Arash Joorabchi,Abdulhussain E. Mahdi +2 more
- 01 Nov 2013
TL;DR: This paper introduces a new approach to creating text representations and apply it to a standard text classification collections based on supplementing the well-known Bag-of-Words representational scheme with a concept-based representation that utilises Wikipedia as a knowledge base.
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Comprehensible Machine-Learning-Based Models for the Pre-Emptive Diagnosis of Multiple Sclerosis Using Clinical Data: A Retrospective Study in the Eastern Province of Saudi Arabia
Sunday O. Olatunji,Nawal Alsheikh,Lujain Alnajrani,A. Alanazy,Meshael Almusairii,Salam Alshammasi,Aisha Alansari,Rim Zaghdoud,Alaa Alahmadi,Mohammed Imran Basheer Ahmed,Mohammed Salih Ahmed,Jamal Alhiyafi +11 more
TL;DR: In this paper , a cost-effective, clinical data-driven model that is capable of diagnosing multiple sclerosis (pwMS) was implemented using MRI images from King Fahad Specialty Hospital (KFSH) in Dammam, Saudi Arabia.
Combining Bag-of-Words and Bag-of-Concepts representations for Arabic text classification
Alaa Alahmadi,Arash Joorabchi,Abdulhussain E. Mahdi +2 more
- 01 Jan 2014
TL;DR: This paper introduces a set of new approaches for text representation for automatic classification of Arabic textual documents based on combining the well-known Bag-of-Words and the Bag- of-Concepts text representation schemes and utilizing Wikipedia as a knowledge base.
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Preemptive Diagnosis of Diabetes Mellitus Using Machine Learning
Reem A. Alassaf,Khawla A. Alsulaim,Noura Y. Alroomi,Nouf S. Alsharif,Mishael F. Aljubeir,Sunday O. Olatunji,Alaa Alahmadi,Mohammed Imran,Rahma A. Alzahrani,Nora S. Alturayeif +9 more
- 25 Apr 2018
TL;DR: Experimental results show that ANN outperformed SVM, Naïve Bayes, and K-Nearest Neighbor with the testing accuracy of 77.5%, and the proposed system aims to preemptively diagnose DM in a region never explored before.
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