Melissa Haendel

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

2020 · 574 Zit. · Journal of the American Medical Informatics Association

Recommended practices and ethical considerations for natural language processing‐assisted observational research: A scoping review

2022 · 21 Zit. · Clinical and Translational Science

AI-readiness for Biomedical Data: Bridge2AI Recommendations

2024 · 18 Zit.

The Global academic research organization network: Data sharing to cure diseases and enable learning health systems

2018 · 14 Zit. · Learning Health Systems

Guiding Principles for Data Sharing and Harmonization: Results of a Systematic Review and Modified Delphi From the Society of Critical Care Medicine Data Science Campaign

2025 · 5 Zit. · Critical Care Medicine

CurateGPT: A flexible language-model assisted biocuration tool

2024 · 4 Zit. · arXiv (Cornell University)

An evaluation of GPT models for phenotype concept recognition

2023 · 1 Zit. · arXiv (Cornell University)

A systematic assessment of large language models’ knowledge of rare diseases: How much do large language models know about rare disease?

2025 · 1 Zit. · Human Genetics and Genomics Advances

Couture Curricula - BD2K Data Science Tailored to Your Needs

2016 · 0 Zit. · Figshare

An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C)

2025 · 0 Zit. · UNC Libraries

Leveraging Generative AI to Assist Biocuration of Medical Actions for Rare Disease

2025 · 0 Zit. · UNC Libraries