Explainable AI, LIME & SHAP for Model Interpretability, Unlocking AI's Decision-Making
Mean RMSE and standard deviation (shaded region) for the
Frontiers Applications and Techniques for Fast Machine Learning in Science
On the interpretability of machine learning-based model for predicting hypertension, BMC Medical Informatics and Decision Making
12-h period prediction over PH=30, for patient #563 with the model
Wearable devices for glucose monitoring: A review of state-of-the
Francesco PRENDIN, University of Padova, Padova
Number of CGM samples available in the testing set of the OhioT1DM
Frontiers Machine Learning for the Prediction of Red Blood Cell Transfusion in Patients During or After Liver Transplantation Surgery
Can we trust AI algorithms in healthcare?
Overview of the Machine Learning Workflow
The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP
On the interpretability of machine learning-based model for predicting hypertension, BMC Medical Informatics and Decision Making
Retrograde flow medial plantar artery flap reconstruction for