Melissa Estévez

Considerations for the Use of Machine Learning Extracted Real-World Data to Support Evidence Generation: A Research-Centric Evaluation Framework

2022 · 25 Zit. · Cancers

Automated Electronic Health Record–Based Tool for Identification of Patients With Metastatic Disease to Facilitate Clinical Trial Patient Ascertainment

2021 · 19 Zit. · JCO Clinical Cancer Informatics

Approach to Machine Learning for Extraction of Real-World Data Variables from Electronic Health Records

2023 · 8 Zit. · medRxiv

389P A framework for evaluating performance of LLM-based extraction from the electronic health record across different healthcare systems

2025 · 0 Zit. · ESMO Real World Data and Digital Oncology

386P Survival prediction in advanced NSCLC (aNSCLC) amid evolving standards of care (SOC): Digital twin modeling incorporating LLM-extracted clinical context

2025 · 0 Zit. · ESMO Real World Data and Digital Oncology

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework

2025 · 0 Zit. · ArXiv.org