IEEE

Development and Validation of Feature-Based Machine Learning for ECG Artifact Detection and Classification

Abstract: ECG signals are vital for diagnosing cardiovascular diseases, but artifacts like power line interference, baseline wander, and motion artifacts hinder accurate interpretation. This study ...
Journal of Medical Internet Research

Deep Learning–Based Electrocardiogram Model (EIANet) to Predict Emergency Department Cardiac Arrest: Development and External Validation Study

The feature map showed that the region of interest in the ECG was the ST segment. Conclusions: EIANet demonstrates promising potential for accurately predicting EDCA using triage ECG images, offering ...
Frontiers

Development and validation of an interpretable machine learning model identify the lactylation-related protein SUSD3 as a prognostic and therapeutic biomarker for breast cancer

Background: Breast cancer is one of the most prevalent malignancies and a leading cause of cancer-related mortality among women. Lactylation, a recently recognized post-translational modification, has ...
TechCrunch

Former Googlers seek to captivate kids with an AI-powered learning app

Big Tech companies and upcoming startups want to use generative AI to build software and hardware for kids. A lot of those experiences are limited to text or voice, and kids might not find that ...
The New York Times

This A.I. Tool Is Going Viral. Five Ways People Are Using It.

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...
IEEE

Machine Learning Based Data Validation for Signal Integrity and Power Integrity Using Supervised Time Series Classification

Abstract: A novel approach for the validation of data in signal integrity and power integrity using machine learning is proposed. This approach presents an alternative to the feature selective ...