Ziyuan Guan

Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform

2022 · 117 Zit. · JAMA Network Open

Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools

2024 · 10 Zit. · arXiv (Cornell University)

Risk-Specific Training Cohorts to Address Class Imbalance in Surgical Risk Prediction

2024 · 3 Zit. · JAMA Surgery

Electronic Health Record Data Quality and Performance Assessments: A Scoping Review (Preprint)

2024 · 0 Zit.

Federated learning model for predicting major postoperative complications

2024 · 0 Zit. · arXiv (Cornell University)

Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications

2024 · 0 Zit. · arXiv (Cornell University)

You Need Governance/ VeritasBench - A Benchmark for AI Agent Governability

2026 · 0 Zit. · Zenodo (CERN European Organization for Nuclear Research)

You Need Governance/ VeritasBench - A Benchmark for AI Agent Governability

2026 · 0 Zit. · Zenodo (CERN European Organization for Nuclear Research)

Federated Learning with Multi-Partner OneFlorida+ Consortium Data for Predicting Major Postoperative Complications

2026 · 0 Zit. · arXiv (Cornell University)

Federated Learning with Multi-Partner OneFlorida+ Consortium Data for Predicting Major Postoperative Complications

2026 · 0 Zit. · ArXiv.org