Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

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

A Machine Learning Approach on SMOS Thin Sea Ice Thickness Retrieval

Abstract: This study proposes a machine learning based methodology for estimating Arctic thin sea ice thickness (up to 1 m) from brightness temperature measurements of SMOS. The approach involves ...
Learn With Jay on MSN

Linear regression cost function explained for beginners

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...
Learn With Jay on MSN

Linear regression using gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
Journal of Epidemiology and Community Health (JECH)

Socioeconomic inequalities in C-section deliveries in low- and middle-income countries: measurement and determinants

Background While C-section (CS) deliveries exhibit significant socioeconomic inequalities in low- and middle-income countries ...
Journal of Epidemiology and Community Health (JECH)

Scalable regionalised quality improvement model for ACS management in resource-limited primary healthcare facilities

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...
IEEE

Analysis of Machine Learning Algorithms for Prediction of Short-Term Rainfall Amounts Using Uganda’s Lake Victoria Basin Weather Dataset

Abstract: As a result of climate change, the difficulty in the prediction of short-term rainfall amounts has become a necessary area of research. The existing numerical weather prediction models have ...