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Cross-institution text mining to uncover clinical associations: a case study relating social factors and code status in intensive care medicine.

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Rule induction for global explanation of trained models., , и . BlackboxNLP@EMNLP, стр. 82-97. Association for Computational Linguistics, (2018)Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data., , , и . J. Am. Medical Informatics Assoc., 30 (7): 1323-1332 (июня 2023)Cross-institution text mining to uncover clinical associations: a case study relating social factors and code status in intensive care medicine., , , , и . CoRR, (2023)Revisiting neural relation classification in clinical notes with external information., , и . Louhi@EMNLP, стр. 22-28. Association for Computational Linguistics, (2018)Training a Transferrable Clinical Language Model from 75 million Notes., , , и . AMIA, AMIA, (2022)Updating the Minimum Information about CLinical Artificial Intelligence (MI-CLAIM) checklist for generative modeling research., , , , , , , , и . CoRR, (2024)Are we there yet? Exploring clinical domain knowledge of BERT models., , и . BioNLP@NAACL-HLT, стр. 41-53. Association for Computational Linguistics, (2021)Contextual explanation rules for neural clinical classifiers., , и . BioNLP@NAACL-HLT, стр. 202-212. Association for Computational Linguistics, (2021)