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 ...
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 ...
IEEE

The Impact of Feature Scaling in Machine Learning: Effects on Regression and Classification Tasks

This study addresses the lack of comprehensive evaluations of feature scaling by systematically assessing 12 techniques, including less common methods such as VAST and Pareto, in 14 machine learning ...
marktechpost

Google AI Releases MLE-STAR: A State-of-the-Art Machine Learning Engineering Agent Capable of Automating Various AI Tasks

MLE-STAR (Machine Learning Engineering via Search and Targeted Refinement) is a state-of-the-art agent system developed by Google Cloud researchers to automate complex machine learning ML pipeline ...
Fierce Healthcare

New startup Insight Health built AI agents for routine clinical tasks, from patient intake to follow-up

Insight Health built patient-facing artificial intelligence agents to handle routine clinical tasks for medical practices, from intake to managing patient histories and follow-up. The new startup, ...
Frontiers

Predicting task performance in robot-assisted surgery using physiological stress and subjective workload: a case study with interpretable machine learning

Robot-assisted surgery (RAS) enhances surgical precision and extends surgeons’ capabilities. However, its effects on the cognitive and physical states of surgeons remain poorly understood. It is ...