by Peter Adebayo Odesola, Adewale Alex Adegoke and Idris Babalola
Journal of Engineering Research and Sciences, Volume 4, Issue 12, Page # 25-54, 2025; DOI: 10.55708/js0412003
Abstract: We investigated whether post-hoc calibration improves the trustworthiness of heart-disease risk predictions beyond discrimination metrics. Using a Kaggle heart-disease dataset (n = 1,025), we created a stratified 70/30 train-test split and evaluated six classifiers, Logistic Regression, Support Vector Machine, k-Nearest Neighbors, Naive Bayes, Random Forest, and XGBoost. Discrimination was quantified by stratified 5-fold cross-validation with… Read More

(This article belongs to the Section Artificial Intelligence – Computer Science (AIC))

by Misha Khan, Mufliha Ibrahim, Muhammad Saad Shabbir, Muhammad Huzaifa Tofique, Muhammad Naheel Khalili, Muhammad Asad, Muhammad Ahmed, Muhammad Haroon and Saima Zainab
Journal of Engineering Research and Sciences, Volume 2, Issue 2, Page # 1-7, 2023; DOI: 10.55708/js0202001
Abstract: Pandemics always have a significant effect on the physical, mental, and financial status of people in general. With new variants of coronavirus emerging now and then, it is difficult to process the sudden changes and new healthcare implementations for all individuals. In this situation, our objective was to assess the mental-wellbeing of medical students and… Read More

(This article belongs to the Section Psychology (PYL))