AIMC Topic: Saudi Arabia
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Comparative study of machine learning methods for COVID-19 transmission forecasting.
Journal of biomedical informatics
Apr 26, 2021
Within the recent pandemic, scientists and clinicians are engaged in seeking new technology to stop or slow down the COVID-19 pandemic. The benefit of machine learning, as an essential aspect of artificial intelligence, on past epidemics offers a new...
The Saudi Data & Artificial Intelligence Authority (SDAIA) Vision: Leading the Kingdom's Journey toward Global Leadership.
Journal of epidemiology and global health
Apr 8, 2021
The emerging field of data and artificial intelligence (AI) and its noticeable expansion has motivated nations to transition from traditional economic models to learning economies using these technologies. In April 2016, the Crown Prince Mohammed bin...
Detection of Hate Speech in COVID-19-Related Tweets in the Arab Region: Deep Learning and Topic Modeling Approach.
Journal of medical Internet research
Dec 8, 2020
BACKGROUND: The massive scale of social media platforms requires an automatic solution for detecting hate speech. These automatic solutions will help reduce the need for manual analysis of content. Most previous literature has cast the hate speech de...
Prototype Development of an Expert System of Computerized Clinical Guidelines for COVID-19 Diagnosis and Management in Saudi Arabia.
International journal of environmental research and public health
Nov 2, 2020
The increasing number of COVID-19 patients has increased health care professionals' workloads, making the management of dynamic patient information in a timely and comprehensive manner difficult and sometimes impossible. Compounding this problem is a...
Measuring and Preventing COVID-19 Using the SIR Model and Machine Learning in Smart Health Care.
Journal of healthcare engineering
Oct 29, 2020
COVID-19 presents an urgent global challenge because of its contagious nature, frequently changing characteristics, and the lack of a vaccine or effective medicines. A model for measuring and preventing the continued spread of COVID-19 is urgently re...
Exploring the Injury Severity Risk Factors in Fatal Crashes with Neural Network.
International journal of environmental research and public health
Oct 14, 2020
A better understanding of circumstances contributing to the severity outcome of traffic crashes is an important goal of road safety studies. An in-depth crash injury severity analysis is vital for the proactive implementation of appropriate mitigatio...
Digital Response During the COVID-19 Pandemic in Saudi Arabia.
Journal of medical Internet research
Sep 1, 2020
BACKGROUND: The first case of COVID-19 in Saudi Arabia was confirmed on March 3, 2020. Saudi Arabia, like many other countries worldwide, implemented lockdown of most public and private services in response to the pandemic and established population ...
Predicting Absenteeism and Temporary Disability Using Machine Learning: a Systematic Review and Analysis.
Journal of medical systems
Aug 7, 2020
The main objective of this paper is to present a systematic analysis and review of the state of the art regarding the prediction of absenteeism and temporary incapacity using machine learning techniques. Moreover, the main contribution of this resear...
Main factors influencing recovery in MERS Co-V patients using machine learning.
Journal of infection and public health
Apr 10, 2019
BACKGROUND: Middle East Respiratory Syndrome (MERS) is a major infectious disease which has affected the Middle Eastern countries, especially the Kingdom of Saudi Arabia (KSA) since 2012. The high mortality rate associated with this disease has been ...
Survival
Young Adult
Bayes Theorem
Adult
Humans
Coronavirus Infections
Male
Multivariate Analysis
Child, Preschool
Machine Learning
Middle Aged
Middle East Respiratory Syndrome Coronavirus
Child
Infant
Health Personnel
Support Vector Machine
Female
Severity of Illness Index
Regression Analysis
Aged
Saudi Arabia
Adolescent
Predictors of in-hospital length of stay among cardiac patients: A machine learning approach.
International journal of cardiology
Jan 19, 2019
OBJECTIVE: The In-hospital length of stay (LOS) is expected to increase as cardiovascular diseases complexity increases and the population ages. This will affect healthcare systems especially with the current situation of decreased bed capacity and i...
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