This project contains supplementary materials for a systematic review of paired train-on-synthetic–test-on-real evaluations of clinical machine learning models trained on synthetic electronic health records.
Background: Timely identification of Educational Support Needs (NEAE / Special Educational Needs) during early developmental stages (ages 3 to 12) is decisive for preventing learning gaps and optimizing inclusive school pathways. However, traditional support models operate predom…
Artificial intelligence and machine-learning methods are increasingly applied in association football to analyse player and team performance, training and match demands, tactical behaviour, injury and health-related outcomes, video and movement data, and other sport-specific deci…
This repository contains a 12-file subset of the CHB-MIT Scalp EEG Database (PhysioNet) used to evaluate adaptive noise filtering algorithms and machine learning classification for ambulatory EEG signal processing. The dataset includes 12 pre-packaged '.edf' files spanning 6 subj…
This prospective update will evaluate peer-reviewed studies in which machine-learning or related data-driven inference methods prioritize therapeutic targets for human disease and the prioritized targets undergo independent experimental validation. The update will use expanded mu…
Wagner Rios-García, Erick Barrientos-Ventura, Victoria E. Butrón-Verástegui, Daniela E. Oriundo-Arbizu, Kehit A. Velasquez-Taipe, Abigail D. Via-y-Rada-Torres, et al.
Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide. Echocardiography is widely available and provides real-time structural and functional assessment, but diagnostic accuracy is limited by operator dependency. Machine learning (ML) and deep…
This research project examines whether person-specific prediction models can improve the timing and effectiveness of just-in-time adaptive interventions for rumination. This proof-of-concept study integrates intensive ecological momentary assessment, idiographic machine-learning…