Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Devdiscourse

Recurrent pregnancy loss remains unexplained despite advances in AI

Machine learning models are designed to analyze large, heterogeneous datasets and identify complex relationships without ...
Devdiscourse

AI-driven rainfall forecasting shows major gains in predicting flood-triggering storms

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
Hosted 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 Machine Learning is "error" representation between actual value and model ...
Stars and Stripes

Army to ring in new year with new AI and machine learning career path for officers

A new career path for Army officers that focuses on artificial intelligence and machine learning further cements the service’s doctrinal shift toward cutting-edge technology and autonomous warfare.
Frontiers

Ensemble machine learning for predicting renal function decline in chronic kidney disease: development and external validation

1 Department of Nephrology, the 95th Hospital of Putian in China RongTong Medical Health Corporation, Putian, China 2 Department of Rheumatology and Immunology, the 95th Hospital of Putian in China ...
IEEE

Unveiling the Role of Weighted Loss Functions in Deep Learning-Based Nowcasting of Extreme Rainfall Events

Abstract: Nowcasting plays a crucial role in responding to disasters such as flash floods by predicting rainfall in real time. However, existing nowcasting models struggle to accurately predict ...
Frontiers

A risk prediction model for poor joint function recovery after ankle fracture surgery based on interpretable machine learning

Objective: Currently, there is no individualized prediction model for joint function recovery after ankle fracture surgery. This study aims to develop a prediction model for poor recovery following ...