Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Abdulwahhab Alshammari"'
Autor:
Hassan Ghazal, Abdulwahhab Alshammari, Adel Taweel, Ahmed ElBokl, Chakib Nejjari, Dari Alhuwail, Dena Al-Thani, Eiman Al-Jafar, Hoda Wahba, Mohammed Alrishidi, Mounir Hamdi, Mowafa Househ, Osama El-Hassan, Sana Alnafrani, Sharareh Rostam Niakan Kalhori, Tamer Emara, Tanvir Alam, Zineb El Otmani Dehbi, Najeeb Al-Shorbaji
Publikováno v:
Yearbook of Medical Informatics. 31:354-364
The region of the Middle East and North Africa (MENA) is diverse and retains a superior growth potential. It benefits from a privileged geographical location with big markets, a young and growing educated population, and competitive advantages in sev
Autor:
Zaid Al-Hamdan, Eiman Al-Jafar, Dari Alhuwail, Mowafa Househ, Osama El Hassan, Khalid AlKhalifa, Salim Al Salmi, Riyad Alshammari, Adel Taweel, Dena Al Thani, Abdulwahhab Alshammari, Luis Fernandez Luque, Najeeb Al-Shorbaji
Publikováno v:
Yearbook of Medical Informatics. 29:290-294
SummaryOver the years, Health Informatics initiatives in the Middle East and North African region have been thriving with a number of different educational, scientific, professional, and technological developments taking place. Within the past year,
Publikováno v:
International Journal of Advanced Computer Science and Applications. 13
Autor:
Dari Alhuwail, Najeeb Al-Shorbaji, Salim Al Salmi, Osama El Hassan, Hassan Ghazal, Abdulwahhab Alshammari, Eiman Al-Jafar, Riyad Alshammari, Zaid Al-Hamadan, Zakiuddin Ahmed
Publikováno v:
Yearbook of Medical Informatics. 28:292-296
During the 2018 IMIA General Assembly (GA) held on Oct 2018 in Sri Lanka, a new organization, the Middle East and North African Health Informatics Association (MENAHIA) was established as a regional non-governmental organization to promote Health Inf
Developing a Predictive Model of Predicting Appointment No-Show by Using Machine Learning Algorithms
Publikováno v:
Journal of Advances in Information Technology. 12
Publikováno v:
Online J Public Health Inform
Diabetes is a salient issue and a significant health care concern for many nations. The forecast for the prevalence of diabetes is on the rise. Hence, building a prediction machine learning model to assist in the identification of diabetic patients i
Publikováno v:
International Journal of Advanced Computer Science and Applications. 11
Patients’ no-show is one of the leading causes of increasing financial burden for healthcare organizations and is an indicator of healthcare systems' quality and performance. Patients' no-show affects healthcare delivery, workflow, and resource pla
Publikováno v:
International Journal of Medical Engineering and Informatics. 1:1