Journal of Medical Internet Research

Development and Validation of a Web-Based Machine Learning Model for Predicting Early Neurological Deterioration Following Stroke Thrombolysis: Multicenter Study

We systematically evaluated 27 clinical parameters using multiple machine learning algorithms to develop ENDRAS, a prediction model based on six readily available clinical variables. Model performance ...
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 ...
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 ...