Publications Temporally integrated framework for treatment intervals (TIFTI): A framework for extracting drug intervals from longitudinal clinic notes December 8, 2018 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 Read the research SharePosted inMethodologyArtificial intelligence More publicationsOctober 2026Extending the Validation of Accuracy for LLM–/ML–Extracted Information and Data (VALID) framework globally: Quality assessment of LLM-derived prostate cancer real-world data in the UKOctober 2026Key considerations for synthesizing cross-country oncology RWE transportability studiesOctober 2026Leveraging large language models to characterize serious illness conversations in advanced non-small cell lung cancer
October 2026Extending the Validation of Accuracy for LLM–/ML–Extracted Information and Data (VALID) framework globally: Quality assessment of LLM-derived prostate cancer real-world data in the UK
October 2026Leveraging large language models to characterize serious illness conversations in advanced non-small cell lung cancer