BMJ Open

Implementation determinants of a planned machine learning-enabled surgical scheduling system in a high-volume orthopaedic centre in Canada: qualitative findin…

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
GitHub

MIMIC-IV Multimodal Pipeline

MIMIC-IV data pipeline is an end-to-end pipeline that offers a configurable framework to prepare MIMIC-IV data for the downstream tasks. The pipeline cleans the raw data by removing outliers and ...
Europe PMC

Multilingual-Prompt-Guided Directional Feature Learning for Weakly Supervised Video Anomaly Detection.

Weakly supervised video anomaly detection has gained attention for its effective performance and cost-efficient annotation, using video-level labels to distinguish between normal and abnormal patterns ...
GitHub

ECGTwinMentor simulates a digital twin of an ECG diagnostic system. Users can input or generate ECG parameters, choose a diagnosis they believe is correct, and compare it with ...

Version 1.0.0 consolidates the architecture, machine learning model, and multiplatform deployment strategy for educational and predictive use of ECG data. ECGTwinMentor simulates a digital twin of an ...
IEEE

Detecting Arrhythmias Using ECG Signals with Machine Learning Techniques

Abstract: This paper presents a comparative study on the effectiveness of various feature selection methods and machine learning algorithms for arrhythmia prediction using electrocardiogram (ECG) ...
IEEE

ECG Measurement System for Vehicle Implementation and Heart Disease Classification Using Machine Learning

Abstract: The 12-lead electrocardiogram (ECG) method can diagnose more cardiovascular disease than the single-lead method, but it is difficult to use in daily life because numerous electrodes must be ...
ahajournals.org

Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detection

Novel targeted treatments increase the need for prompt hypertrophic cardiomyopathy (HCM) detection. However, its low prevalence (0.5%) and resemblance to common diseases present challenges that may ...