Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Riyad Alshammari"'
Publikováno v:
Journal of Big Data, Vol 7, Iss 1, Pp 1-15 (2020)
Abstract Outpatients who fail to attend their appointments have a negative impact on the healthcare outcome. Thus, healthcare organizations facing new opportunities, one of them is to improve the quality of healthcare. The main challenges is predicti
Externí odkaz:
https://doaj.org/article/3a09f8b039684694947a52e88dc8cccd
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 27, Iss 1, Pp 77-92 (2015)
We investigate the performance of three different machine learning algorithms, namely C5.0, AdaBoost and Genetic programming (GP), to generate robust classifiers for identifying VoIP encrypted traffic. To this end, a novel approach (Alshammari and Zi
Externí odkaz:
https://doaj.org/article/fae57d585d054bb6a57368cc9d4828d1
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,
Autor:
Riyad Alshammari, Tahani Daghistani
Publikováno v:
Journal of Advances in Information Technology. :78-83
Autor:
Riyad Alshammari, Razan Alaraj
Publikováno v:
Acta Informatica Medica
Introduction: Dementia is a progressive disorder associated with age, which is characterized by deterioration of individuals’ cognitive functions such as the ability to perform routine tasks. With the increase of human life expectancy, the prevalen
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
Publikováno v:
2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA).
This study aims to develop an accurate machine learning model for predicting no-shows in pediatric outpatient clinics at King Faisal Specialist Hospital and Research Centre (KFSH&RC), and understand pediatric patients' characteristics who are most li
Autor:
Zakhriya Alhassan, Matthew Watson, David Budgen, Riyad Alshammari, Ali Alessa, Noura Al Moubayed
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 5, p e25237 (2021)
JMIR Medical Informatics
JMIR medical informatics, 2021, Vol.9(5), pp.e25237 [Peer Reviewed Journal]
JMIR Medical Informatics
JMIR medical informatics, 2021, Vol.9(5), pp.e25237 [Peer Reviewed Journal]
BACKGROUND Predicting the risk of glycated hemoglobin (HbA1c) elevation can help identify patients with the potential for developing serious chronic health problems, such as diabetes. Early preventive interventions based upon advanced predictive mode
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