"UAE University" innovates a system to predict the spread of "Corona" through artificial intelligence
Laila Ismail: "Predicting how the disease will spread is essential for health care planning."
Associate Professor in the Department of Computer Science and Software Engineering at the College of Information Technology at the United Arab Emirates University, and the founder of the Smart Distributed Computing Systems Laboratory, researcher Dr. Laila Ismail, has developed a model that contributes to knowing the extent of the spread of the Corona virus through artificial intelligence and machine learning, which represents a first step for the makers The decision is to understand the consequences of the spread of the virus, as the results of the research were published after the completion of laboratory experiments and the results of data received from 187 countries around the world.
Ismail indicated that predicting how the disease will spread and the number of infected people is essential for the planning process in the field of health care, determining the necessary requirements, and evaluating the impact of any action taken, as countries around the world vary in their response to the Corona virus, according to the extent of technological progress and the abundance of resources. And human powers.
The model relies on predicting the spread of infectious diseases, which helps to time the end of social isolation and determine the number of intensive care units. For healthcare institutions to better judge the impact of precautionary measures taken, and to provide the necessary resources more effectively to combat this disease.
She explained that despite the existence of a large body of research related to viruses, and numerous studies of rapidly spreading viruses, such as severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), our basic understanding of the behavior of "Covid-19" is still inaccurate, and governments have imposed a number From strict social practices and precautionary measures.
Through these studies, there are data-based models to gain a better understanding of the growth of the infection curve and predict stopping the spread of infection, and many of these works propose the use of different time-series methods for predicting infections, to help health care organizations assess the social and economic impact of strategies taken in the community. .
The researcher came up with a set of results, and a model for predicting what is known as "designing time-series models to predict the spread of the Corona virus". This model can be applied on the ground using the technologies of state data trends, determining the mapping for the country, artificial intelligence and machine learning, through the use of language. "Python programming", with the aim of applying an accurate system to predict the spread of the Corona pandemic in the future.
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