Two Macao Polytechnic Institute (MPI) students won Best Paper at the 6th International Conference on Internet of Things, Big Data and Security for a study on a Covid-19 blood test detection system.
Ziyue Yu and Lihua He, two MPI PhD students conducted research on a Covid-19 prediction method, said to have a lower false-negative rate than the usual nucleic acid test.
The research was carried out under the supervision of Professor Giovanni Pau, Professor Rita Tse and Associate Professor Wuman Luo.
The authors proposed four hybrid deep learning models and other existing models, and applied them to the blood test data from the Israelita Albert Einstein Hospital, Brazil, with experimental results showing that CNN+Bi-GRU achieves the best performance in terms of all the five metrics.
“These research results can aid in the effective and accurate prediction of COVID-19. The research has considerable practical and academic value in the era of challenging international anti-epidemic efforts, and is expected to be used extensively in the work of epidemic prevention,” the MPI noted.
IoTBDS 2021 – an international tech conference that draws researchers from all over the world – was held from April 23 to 25, and all of the accepted papers will be indexed in the world-renowned citation databases Scopus and Engineering Index.