Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Background Ebstein’s anomaly (EA) exhibits significant anatomical and clinical heterogeneity, warranting a systematic ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...

1 Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia 2 InnoV'COM Laboratory-Sup'Com, University of Carthage, Ariana, Tunisia ...

This project focuses on predicting house prices using the Ames Housing dataset. It demonstrates an end-to-end Machine Learning workflow including preprocessing, feature engineering, model training,… ...

Background Access to adequate antenatal care (ANC) is crucial for improving maternal and neonatal health outcomes. Despite high national ANC coverage, Colombia still faces regional and socioeconomic ...

This is perhaps the most well-known dataset in pattern recognition. First introduced by Sir R.A. Fisher in 1936, it has since become a standard for testing classification algorithms. Note: This ...