OneEHR: Reproducible and AI Agent-Ready Longitudinal EHR Analysis Toolkit
Open Access
- 8 August 2026
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 13297-13298
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (62402017)
- Beijing Traditional Chinese Medicine Science and Technology Development Fund (BJZYZD-2025-13)
- Young Elite Scientists Sponsorship Program of the Beijing High Innovation Plan (20250628)
- Health Data Research UK–The Alan Turing Institute Wellcome PhD Programme in Health Data Science (218529\/Z\/19\/Z)
- Baidu Scholarship (\/)
- Research Grants Council of Hong Kong (27206123)
- Research Grants Council of Hong Kong (17200125)
- Research Grants Council of Hong Kong (C5055-24G)
- Research Grants Council of Hong Kong (T45-401\/22-N)
- Hong Kong Innovation and Technology Fund (GHP\/318\/22GD)
This publication has 9 references indexed in Scilit:
- Augmenting Clinical Decision-Making with an Interactive and Interpretable AI Copilot: A Real-World User Study with Clinicians in Nephrology and Obstetrics2026
- MEDS: Building Models and Tools in a Reproducible Health AI Ecosystem2025
- ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration2025
- EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation2024
- PRISM: Mitigating EHR Data Sparsity via Learning from Missing Feature Calibrated Prototype Patient Representations2024
- A comprehensive benchmark for COVID-19 predictive modeling using electronic health records in intensive carePatterns, 2024
- Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patientsPatterns, 2023
- PyHealth: A Deep Learning Toolkit for Healthcare Applications2023
- ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare ContextProceedings of the AAAI Conference on Artificial Intelligence, 2020