Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Devdiscourse

AI systems can create competing ‘algorithmic worlds’ from same data

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...
BMJ Open

Trends and predictors of caesarean section in Thailand before and during the COVID-19 pandemic: a retrospective analysis of national hospitalisation data under the Universal ...

Objectives Since 1985, the international healthcare community has recommended the ideal rate of caesarean section (CS) to be 10%–15% at the national level. The literature has reported that overused CS ...
IEEE

Leveraging Machine Learning Algorithms for Threat Detection Using AI-Enhanced Cybersecurity Datasets

Abstract: This study uses an AI-enhanced cybersecurity events dataset to utilize the effectiveness of leveraging machine learning algorithms Logistic Regression, Decision Tree, and Random Forest for ...