A Moroccan team of researchers and doctors published a scientific study on an artificial intelligence model that predicts the possible severity of COVID-19 symptoms among those infected.
The study, published in the Journal of Big Data, developed and tested an artificial intelligence model based on the data of 337 people infected with the virus at Sheikh Zayed Hospital in the Moroccan capital, Rabat.
The Moroccan team worked on collecting biological and non-biological data for patients, such as age, gender, pre-existing conditions, medications used, tests, cholesterol level, platelets, and C-reactive protein, in addition to “D-dimer” blood test, to enable the model to predict the development of the infection from its early stage.
Maryam El Atifi, a doctoral student in biomedical technology at the Faculty of Science at Mohammed V University in Rabat who supervised the study, said that the “model succeeded in predicting severe cases among the infected with a 100% success rate.”
El Atifi explained that the study aims to help hospitals and medical facilities to identify patients who most require hospital care early on, the program then offers the facilities a chance to better manage equipment, staff, and hospital beds.
The Moroccan researcher stated, in a statement to Hespress AR, that this scientific study required about an approximate year of work, and is the first of its kind in Morocco that addresses the issue of artificial intelligence as a mechanism to counter the effects of the pandemic.
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