ECSYAPPS–A framework for analyzing the effectiveness of classification techniques for early prediction of students academic performance in education sector
SM Dol, PM Jawandhiya - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Predicting students' academic performance is of paramount importance to educational
institutions. If students' academic performance is predicted course-wise, semester-wise and …
institutions. If students' academic performance is predicted course-wise, semester-wise and …
Heart Failure Prediction Using Supervised Machine Learning Algorithms
S Lyaqini, M Nachaoui - The International Conference on New Trends in …, 2022 - Springer
The heart is the second most important organ of the human body after the brain, and it
circulates blood and supplies all of the body's organs. Diseases associated with the heart …
circulates blood and supplies all of the body's organs. Diseases associated with the heart …