Temporally integrated framework for treatment intervals (TIFTI): A framework for extracting drug intervals from longitudinal clinic notes Published December 2018 Citation Agrawal, M, Adams, G, Nussbaum, NC, Birnbaum, B. . Machine Learning for Health (ML4H) Workshop. . https://arxiv.org/pdf/1811.12793.pdf Authors:Agrawal, M, Adams, G, Nussbaum, NC, Birnbaum, B Sources:Machine Learning for Health (ML4H) Workshop Share Posted inPublicationsMachine learningMethodology More publicationsJSMO Annual MeetingMarch 2026Japanese language EHR LLM extraction of longitudinal unstructured ECOG performance statusAdamson B, Zhang Y, Chamby A, et al.Publication summaryPublicationsMachine learningArtificial intelligenceJCO Cancer Clinical InformaticsMarch 2026Ensuring reliability of curated EHR-derived data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) FrameworkEstevez M, Singh N, Dyson L, et al. Publication summaryPublicationsMachine learningQuality improvementQuality reportingESMO AI & Digital OncologyNovember 2025Survival prediction in advanced NSCLC (aNSCLC) amid evolving standards of care (SOC): Digital twin modeling incorporating LLM-extracted clinical contextEstevez M, Griffith S, Williams T, et al.Publication summaryPublicationsMachine learning