Five researchers from the Polytechnic Institute of Macau and the University of Bologna used artificial intelligence to analyze the accuracy of four data models in order to predict covid-19 contagion through blood tests. One of them achieved good results in all variables studied
The possibility of predicting covid-19 contagion through a simple blood test, using artificial intelligence, was the focus of the study carried out by four researchers from the Polytechnic Institute of Macau (IPM), Ziyue Yu, Lihua He, Wuman Luo and Rita Tse, and researcher Giovanni Pau of the University of Bologna and Los Angeles Department of Computer Science.
In the doctoral thesis entitled “Deep Learning for COVID-19 Prediction based on Blood Test” an analysis is made of four hybrid models of Deep Learning, later applied to 18 blood analysis data from Israelta Albert Einstein Hospital, in Brazil. This work was done, in part, using IPM's Big Data Driven Intelligent Computing system.
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