3 papers
cs.LG2025
Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates
Pafue Christy Nganjimi, Andrew Soltan, Danielle Belgrave +3
Dataset condensation (DC) enables the creation of compact, privacy-preserving synthetic datasets that can match the utility of real patient records, supporting democratised access…
cs.LG2025
Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation
Bradley Segal, Joshua Fieggen, David Clifton +1
Ensuring the generalisability of clinical machine learning (ML) models across diverse healthcare settings remains a significant challenge due to variability in patient demographics…
q-bio.QM2023
At-Admission Prediction of Mortality and Pulmonary Embolism in COVID-19 Patients Using Statistical and Machine Learning Methods: An International Cohort Study
Munib Mesinovic, Xin Ci Wong, Giri Shan Rajahram +8
By September, 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, resulting in over 6.5 million deaths. COVID-19 mortality risk estimators are of…