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Robust Benchmarking for Machine Learning of Clinical Entity Extraction.

, , , , and . MLHC, volume 126 of Proceedings of Machine Learning Research, page 928-949. PMLR, (2020)

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Modeling polypharmacy side effects with graph convolutional networks., , and . Bioinform., 34 (13): i457-i466 (2018)Machine Learning for Health symposium 2022 - Extended Abstract track., , , , , , and . CoRR, (2022)Leveraging Time Irreversibility with Order-Contrastive Pre-training., , , , and . CoRR, (2021)Large Language Models are Zero-Shot Clinical Information Extractors., , , , and . CoRR, (2022)TabLLM: Few-shot Classification of Tabular Data with Large Language Models., , , , , and . CoRR, (2022)Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study., , , , , , , , , and 3 other author(s). CoRR, (2024)Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health KnowledgeGraph., , , and . PSB, page 19-30. (2020)Machine Learning for Health (ML4H) 2022., , , , , , , , , and 14 other author(s). ML4H@NeurIPS, volume 193 of Proceedings of Machine Learning Research, page 1-11. PMLR, (2022)PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming., , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1927-1935. PMLR, (2021)Robust Benchmarking for Machine Learning of Clinical Entity Extraction., , , , and . MLHC, volume 126 of Proceedings of Machine Learning Research, page 928-949. PMLR, (2020)