Predicting cardiovascular disease with artificial intelligence - Actu IA

Heart rate variability is an indicator of heart health. Mohammad Moshawrab's research on this topic received the best paper award at the 19th International Conference on Mobile Systems and Persuasive Computing (MobiSPC), held August 9-11 in Niagara Falls, Canada. Like the other papers accepted by MobiSPC 2022, " Cardiovascular Events Prediction using Artificial Intelligence Models and Heart Rate Variability"is published by Elsevier Science in the online open access Procedia Computer Science series. Mohammad Moshawrab is a doctoral student in engineering at the Université du Québec à Rimouski (UQAR), which welcomes about 6,700 students each year, including nearly 600 international students from more than 45 countries. His doctorate in engineering aims to train specialists capable of designing and carrying out independently a research program to advance the state of knowledge in the engineering of physical systems and industrial processes.