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H-Diary: Mobile Application for Headache Diary and Remote Patient Monitoring.

A. Aljaaf, D. Al-Jumeily, T. kh. Asman, A. Hussain, T. Baker, M. Alloghani, and J. Mustafina. DeSE, page 18-22. IEEE, (2018)

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Mohamed Hassan University of Stuttgart

Tarek Mohamed University of Stuttgart

Abdelrahman Hesham Mohamed University of Stuttgart

Sherif Abdulatif Mohamed University of Stuttgart

Mohamed Osama Helal Ahmed University of Stuttgart

Other publications of authors with the same name

Application of Learning Analytics in Higher Educational Institutions.J. Mustafina, L. Galiullin, D. Al-Jumeily, E. Petrov, M. Alloghani, and A. Kaky. DeSE, page 163-168. IEEE, (2018)Prospects of Machine and Deep Learning in Analysis of Vital Signs for the Improvement of Healthcare Services.M. Alloghani, T. Baker, D. Al-Jumeily, A. Hussain, J. Mustafina, and A. Aljaaf. Nature-Inspired Computation in Data Mining and Machine Learning, volume 855 of Studies in Computational Intelligence, Springer, (2020)Data Science to Improve Patient Management System.M. Alloghani, A. Aljaaf, D. Al-Jumeily, A. Hussain, C. Mallucci, and J. Mustafina. DeSE, page 27-30. IEEE, (2018)H-Diary: Mobile Application for Headache Diary and Remote Patient Monitoring.A. Aljaaf, D. Al-Jumeily, T. kh. Asman, A. Hussain, T. Baker, M. Alloghani, and J. Mustafina. DeSE, page 18-22. IEEE, (2018)An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data Sets.M. Khalaf, A. Hussain, O. Alfandi, D. Al-Jumeily, M. Alloghani, M. Alsaadi, O. Dawood, and D. Abd. ICIC (2), volume 11644 of Lecture Notes in Computer Science, page 580-591. Springer, (2019)Learning Analytics and Serious Games: Analysis of Interrelation.E. Petrov, J. Mustafina, M. Alloghani, L. Galiullin, and S. Tan. DeSE, page 153-156. IEEE, (2018)Healthcare Services Innovations Based on the State of the Art Technology Trend Industry 4.0.M. Alloghani, D. Al-Jumeily, A. Hussain, A. Aljaaf, J. Mustafina, and E. Petrov. DeSE, page 64-70. IEEE, (2018)A Study of Data Classification and Selection Techniques to Diagnose Headache Patients.A. Aljaaf, C. Mallucci, D. Al-Jumeily, A. Hussain, M. Alloghani, and J. Mustafina. Applications of Big Data Analytics, Springer, (2018)Early Prediction of Chronic Kidney Disease Using Machine Learning Supported by Predictive Analytics.A. Aljaaf, D. Al-Jumeily, H. Haglan, M. Alloghani, T. Baker, A. Hussain, and J. Mustafina. CEC, page 1-9. IEEE, (2018)Patients Attitude to Technology - A Way to Improve Hydrocephalus Management and Follow up Using Smartphone Intelligent Application.A. Aljaaf, L. Tonder, C. Mallucci, D. Al-Jumeily, A. Hussain, and M. Alloghani. J. Medical Systems, 43 (9): 295:1-295:7 (2019)

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Disambiguation of "Alloghani, Mohamed"

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H-Diary: Mobile Application for Headache Diary and Remote Patient Monitoring.

Please choose a person to relate this publication to

Mohamed Hassan University of Stuttgart

Tarek Mohamed University of Stuttgart

Abdelrahman Hesham Mohamed University of Stuttgart

Sherif Abdulatif Mohamed University of Stuttgart

Mohamed Osama Helal Ahmed University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Alloghani, Mohamed"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML H-Diary: Mobile Application for Headache Diary and Remote Patient Monitoring.

Please choose a person to relate this publication to

Mohamed Hassan University of Stuttgart

Tarek Mohamed University of Stuttgart

Abdelrahman Hesham Mohamed University of Stuttgart

Sherif Abdulatif Mohamed University of Stuttgart

Mohamed Osama Helal Ahmed University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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Chicago
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H-Diary: Mobile Application for Headache Diary and Remote Patient Monitoring.