6 papers
Harmonized Interpretable ECG Waveform Features for Robust Cross-Dataset Clinical Prediction
Jie Lin, Weijie Sun, Sunil V. Kalmady +4
Electrocardiograms (ECGs) are widely used for cardiovascular risk prediction, yet models often fail to transfer across hospitals because of protocol, population, and measurement di…
Overcoming Dependent Censoring in the Evaluation of Survival Models
Christian Marius Lillelund, Shi-ang Qi, Russell Greiner
Dependent censoring occurs when the event time and censoring time are not conditionally independent given the observed covariates. This complicates survival model evaluation becaus…
Toward Conditional Distribution Calibration in Survival Prediction
Shi-ang Qi, Yakun Yu, Russell Greiner
Survival prediction often involves estimating the time-to-event distribution from censored datasets. Previous approaches have focused on enhancing discrimination and marginal calib…
MENSA: A Multi-Event Network for Survival Analysis with Trajectory-based Likelihood Estimation
Christian Marius Lillelund, Ali Hossein Gharari Foomani, Weijie Sun +2
Most existing time-to-event methods focus on either single-event or competing-risks settings, leaving multi-event scenarios relatively underexplored. In many healthcare application…
Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration
Shi-ang Qi, Yakun Yu, Russell Greiner
Discrimination and calibration represent two important properties of survival analysis, with the former assessing the model's ability to accurately rank subjects and the latter eva…
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data
Vikhyat Agrawal, Sunil Vasu Kalmady, Venkataseetharam Manoj Malipeddi +6
This research paper explores ways to apply Federated Learning (FL) and Differential Privacy (DP) techniques to population-scale Electrocardiogram (ECG) data. The study learns a mul…