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Do no harm: a roadmap for responsible machine learning for health care

, , , , , , , , , , , , и . Nature Medicine, 25 (9): 1337--1340 (2019)
DOI: 10.1038/s41591-019-0548-6

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Mohammed Saeed

Mohammed Saeed Chaudhry

Mohammed Saeed Akbar Sheikh

Elhassan Mohammed Ali Saeed

Semiramis Saeed-Akbari

 

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Scrutinizer: A Mixed-Initiative Approach to Large-Scale, Data-Driven Claim Verification., , , и . CoRR, (2020)Do no harm: a roadmap for responsible machine learning for health care, , , , , , , , , и 3 other автор(ы). Nature Medicine, 25 (9): 1337--1340 (2019)Ambiguity Detection and Textual Claims Generation from Relational Data., , , , и . SEBD, том 3194 из CEUR Workshop Proceedings, стр. 333-340. CEUR-WS.org, (2022)Querying Large Language Models with SQL., , и . EDBT, стр. 365-372. OpenProceedings.org, (2024)Explainable Fact Checking with Probabilistic Answer Set Programming., , , и . TTO, (2019)Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data., , , , и . SIGMOD Conference, стр. 2409-2412. ACM, (2022)Automatic Verification of Data Summaries., , и . INLG, стр. 271-275. Association for Computational Linguistics, (2021)Attribute Ambiguity Discovery: A Deep Learning Approach via Unsupervised Learning., , , и . SEBD, том 3478 из CEUR Workshop Proceedings, стр. 479-487. CEUR-WS.org, (2023)Scrutinizer: Fact Checking Statistical Claims., , , и . Proc. VLDB Endow., 13 (12): 2965-2968 (2020)RuleBERT: Teaching Soft Rules to Pre-Trained Language Models., , , и . EMNLP (1), стр. 1460-1476. Association for Computational Linguistics, (2021)