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Disambiguation of "Khalaf, Mohammed"

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A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets.

, , , , , , , , and . ICIC (2), volume 10362 of Lecture Notes in Computer Science, page 115-121. Springer, (2017)

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Osama Mohammed University of Stuttgart

 

Other publications of authors with the same name

An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data Sets., , , , , , , and . ICIC (2), volume 11644 of Lecture Notes in Computer Science, page 580-591. Springer, (2019)Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease., , , , , , , , and . ICIC (1), volume 9771 of Lecture Notes in Computer Science, page 784-795. Springer, (2016)The utilisation of social media for bridging the gap between patients and pharmaceutical companies., , , , , and . IWSSIP, page 179-183. IEEE, (2015)Robust Approach for Medical Data Classification and Deploying Self-Care Management System for Sickle Cell Disease., , , , , and . CIT/IUCC/DASC/PICom, page 575-580. IEEE, (2015)Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models., , , , , , and . Neurocomputing, (2017)A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction., , , , , , , and . CEC, page 1-8. IEEE, (2018)A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets., , , , , , , , and . ICIC (2), volume 10362 of Lecture Notes in Computer Science, page 115-121. Springer, (2017)Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care., , , , , , and . CIT/IUCC/DASC/PICom, page 215-220. IEEE, (2015)Machine learning approaches and web-based system to the application of disease modifying therapy for sickle cell.. Liverpool John Moores University, UK, (2018)British Library, EThOS.Advance flood detection and notification system based on sensor technology and machine learning algorithm., , , , and . IWSSIP, page 105-108. IEEE, (2015)