autoimmune disease 1competing risks 1cumulative incidence curves 1federated learning 1immune checkpoint inhibitors 1post-market safety surveillance 1
From the 1 of 3 linked papers with an AI index.
3 papers
stat.ME2026
Studying Competing Events with Federated Cumulative Incidence Curves
Malcolm Risk, Shuang Yang, Jiang Bian +6
The paper introduces a federated learning approach for constructing non‑parametric cumulative incidence curves for competing risks without sharing patient‑level data, and applies i…
cs.AI2026
Temporally Detailed Hypergraph Neural ODEs for Disease Progression Modeling
Tingsong Xiao, Yao An Lee, Zelin Xu +6
Disease progression modeling aims to characterize and predict how a patient's disease complications worsen over time based on longitudinal electronic health records (EHRs). For dis…
stat.AP2026
The impact of electronic health records (EHR) data continuity on prediction model fairness and racial-ethnic disparities
Yu Huang, Jingchuan Guo, Zhaoyi Chen +6
Electronic health records (EHR) data have considerable variability in data completeness across sites and patients. Lack of "EHR data-continuity" or "EHR data-discontinuity", define…