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publications
Machine learning predicts long-term mortality after acute myocardial infarction using systolic time intervals and routinely collected clinical data
Published in Intelligent Medicine, 2024
This paper was part of my bachelor’s project at K. N. Toosi University of Technology, Tehran, Iran, in conjunction with an internship at the LIVIA Lab, École de technologie supérieure (ETS), Montreal, Canada. The research focused on predicting long-term mortality in AMI patients using machine learning algorithms, including Random Forest, AdaBoost, and XGBoost.
Recommended citation: Roudini B, Khajehpiri B, Moghaddam HA, Forouzanfar M. Machine learning predicts long-term mortality after acute myocardial infarction using systolic time intervals and routinely collected clinical data. Intelligent Medicine. 2024 Jun 17.
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talks
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teaching
Teaching Experience
Throughout my tenure as a Teaching Assistant (TA), I have contributed to both undergraduate and graduate-level courses. My responsibilities have ranged from supervising labs, conducting tutorials, grading assignments, and providing additional academic support to students., Memorial University of Newfoundland, Department of Electrical and Computer Engineering, 2024
Fall 2024
Courses:
- ENGI 3424 - Engineering Mathematics
Instructor: Dr. Glyn George
TA Duties: Grading quizzes, and invigilating exams.