Devdiscourse

AI-enhanced sensor networks strengthen pollution mapping and public health action

Machine learning has become the critical enabler for addressing these challenges. Traditional ML models, including random ...
Technology Networks

Machine Learning Model Detects ALS Up to a Decade Before Symptoms Emerge

A new study combining multiomics approaches with machine learning has identified plasma protein changes that may allow for ...
Devdiscourse

New challenges in securing billions of IoT devices in the AI era

Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong ...

Shaking up economic early warning systems with an artificial jellyfish algorithm

A study in the International Journal of Critical Infrastructures discusses a financial early warning system based on an ...
Technology Networks

Biomarkers Identified for MASLD Using Genetics and Machine Learning

Researchers have identified multiple causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD), ...
Healio

MRI-based clinical prediction model identified risk factors for patellar instability

Please provide your email address to receive an email when new articles are posted on . The Insall-Salvati ratio, tibial tubercle-trochlear groove distance and trochlear depth had the greatest ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...