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Disambiguation of "Khalaf, Mohammed"

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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)

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Mohammed Abdelsabour-Khalaf

Khalaf Ali Hamam Mohammed

Sebastian Khalaf

Ina Khalaf

Quantitatives Monitoring des Aufbaus der extrazellulären Matrix in Knochenimplantaten mittels _1hn1_1hn3C- und _1hn3_1hn1P-NMR-Spektroskopie. Uni Leipzig, (2009)

Mustafa Khalaf

 

Other publications of authors with the same name

The Application of Artificial Intelligence Technology in Healthcare: A Systematic Review., , , , , and . ACRIT, volume 1174 of Communications in Computer and Information Science, page 248-261. Springer, (2019)The Effects of Premature Birth on Children Education., , , , , , , and . DeSE, page 51-55. IEEE, (2016)The utilisation of social media for bridging the gap between patients and pharmaceutical companies., , , , , and . IWSSIP, page 179-183. IEEE, (2015)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)Implementation of machine learning algorithms to create diabetic patient re-admission profiles., , , , , , and . BMC Medical Informatics Decis. Mak., 19-S (9): 253 (2019)The Impact of Social Media and Its Utilisation by Pharmaceutical Companies., , , , , , and . DeSE, page 14-19. IEEE, (2015)Perspectives on industry 4.0 awareness among undergraduate IT students in IRAQ: University of Anbar as a case study., , , , , , and . DeSE, page 777-781. IEEE, (2023)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.Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care., , , , , , and . CIT/IUCC/DASC/PICom, page 215-220. IEEE, (2015)Investigating the Capability of Agile Processes to Support Medical Devices Regulations: The Case of XP, Scrum, and FDD with EU MDR Regulations., , , and . ICIC (3), volume 11645 of Lecture Notes in Computer Science, page 581-592. Springer, (2019)