EurekAlert!

ETRI releases no-code machine learning development tools

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
IEEE

Heart Disease Prediction System using Ensemble Machine Learning Technique

Abstract: The traditional approach to prediction of heart disease using a limited set of essential physical signs from repetitive inspections is inadequate. Also, manual inspection and analysis of ...
EurekAlert!

Data bias reduces reliability of AI models predicting antimicrobial resistance

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance mechanisms can be identified based on a pathogen’s genetics. However, the ...
GEN

Proteome-Wide AI Model Supports Rare Disease Diagnosis Using Evolution

Missense variants remain a challenge in genetic interpretation due to their subtle and context-dependent effects. While current prediction models perform well in known disease genes, generalizability ...
Frontiers

Heart disease prediction using hybrid TabNet architecture with stacked ensemble learning

1 Department of Computer Science, National University of Modern Languages (NUML), Islamabad, Pakistan 2 Department of AI and SW, Gachon University, Seongnam, Republic of Korea Cardiovascular diseases ...
Healio

Machine learning, remote monitoring identify low disease activity in rheumatoid arthritis

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
IEEE

Unified Disease Prediction System Using Machine Learning Techniques

Abstract: This innovative research uses datasets from Kaggle to leverage Machine Learning (ML) techniques to develop a complete unified disease prediction system. With its comprehensive coverage of ...
News Medical

Using AI models to improve prediction of CKD's progression to end-stage renal disease

Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately progress to end-stage renal disease (ESRD). Globally, the prevalence of the CKD ...
TechCrunch

Google is experimenting with machine learning-powered age-estimation tech in the US

Google is testing a machine learning-powered tech in the U.S. to determine the age of users and filter content across all its products accordingly. The company said it will consider data from Google ...
Live Science

Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...