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 ...
AHA/ASA Journals

Multistage Electrocardiographic Profiling for Mental Stress-Induced Myocardial Ischemia in Women: A Prospective, Age-Matched Cohort Study in China

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
IEEE

Speech Recognition and Emotion Detection using Machine Learning approaches on Ravdess Dataset

Abstract: Speech analysis can be employed in real-time to detect emotions using machine learning. Emotions can be identified by analysing features such as pitch, intensity, and spectral patterns.
GitHub

peter-fichtelmann/odor-strength

This module contains the Python code (version 1.0) of the manuscript: Machine learning for smell: Ordinal odor strength prediction of molecular perfumery components (DOI coming soon). It implements ...
IEEE

Machine Learning in Higher Education using RF and SVM for Pedagogical Enhancement

Abstract: AI's revolutionary potential in higher education is examined in this proposal, including how it could revolutionize teaching, learning, administration, and research. Adaptive learning ...