AutoScore: An Interpretable Machine Learning-Based Automatic Clinical Score Generator

HRnV-Calc software for heart rate n-variability and heart rate variability analysis

seeBias: A comprehensive tool for assessing and visualizing AI fairness

Global Landscape of Responsible AI in Healthcare: A Comprehensive Guide

Transparent Reporting of Ethics for Generative AI (TREGAI) Checklist

ShapleyVIC: Shapley Variable Importance Cloud for Interpretable Machine Learning

Fairness-Aware Interpretable Modelling (FAIM) for Trustworthy Machine Learning

Heart Rate n-Variability (HRnV): A Novel Representation of Beat-to-Beat Variation in ECG

Python workflow for generating benchmark datasets and machine learning models from the MIMIC-IV-ED database.