GitHub

A tiny framework to perform adversarial validation of your training and test data.

train your ML model in a training dataset. tune and validate your ML model in a validation dataset (typically is a discrete fraction of the training dataset). finally, assess the actual generalization ...
BMJ

Development and validation of clinical vignettes to inform an educational intervention for physiotherapists to detect serious pathologies: a mixed-methods study

Objectives To develop and validate educational clinical vignettes (CVs) based on real-life patients with serious pathology from the disciplines of oncology, internal medicine and orthopaedics that are ...
ahajournals.org

Development and Validation of the American Heart Association’s PREVENT Equations

Multivariable equations are recommended by primary prevention guidelines to assess absolute risk of cardiovascular disease (CVD). However, current equations have several limitations. Therefore, we ...
IEEE

Comparative Analysis of Cross-Validation Methods on PPMI Dataset

Abstract: Artificial Intelligence (AI) is significantly impacting the management of neurodegenerative diseases in the realm of radiology and medical imaging. AI plays a pivotal role in identifying ...
IEEE

Techniques and Methods for Validation of Inverter-Based Resource Unit and Plant Simulation Models Across Multiple Simulation Domains: An Engineering Judgment-Based Approach

Abstract: Recent disturbances involving inverter-based resources (IBRs) in power systems around the world have brought the topics of IBR model validation, accuracy, and appropriateness of various ...