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Tristan Naumann

Microsoft Research

Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature


Jun 25, 2021
Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon


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Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing


Aug 20, 2020
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon


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ML4H Abstract Track 2019


Feb 05, 2020
Matthew B. A. McDermott, Emily Alsentzer, Sam Finlayson, Michael Oberst, Fabian Falck, Tristan Naumann, Brett K. Beaulieu-Jones, Adrian V. Dalca


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Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation


Dec 04, 2019
Aparna Balagopalan, Jekaterina Novikova, Matthew B. A. McDermott, Bret Nestor, Tristan Naumann, Marzyeh Ghassemi

* Accepted to ML4H at NeurIPS 2019 

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Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks


Aug 02, 2019
Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi


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MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III


Jul 19, 2019
Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan, Michael C. Hughes, Tristan Naumann, Marzyeh Ghassemi


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Publicly Available Clinical BERT Embeddings


Apr 29, 2019
Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott

* Clinical Natural Language Processing (ClinicalNLP) Workshop at NAACL 2019 

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Generalizability of predictive models for intensive care unit patients


Dec 06, 2018
Alistair E. W. Johnson, Tom J. Pollard, Tristan Naumann

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation


Nov 30, 2018
Bret Nestor, Matthew B. A. McDermott, Geeticka Chauhan, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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Machine Learning for Health (ML4H) Workshop at NeurIPS 2018


Nov 24, 2018
Natalia Antropova, Andrew L. Beam, Brett K. Beaulieu-Jones, Irene Chen, Corey Chivers, Adrian Dalca, Sam Finlayson, Madalina Fiterau, Jason Alan Fries, Marzyeh Ghassemi, Mike Hughes, Bruno Jedynak, Jasvinder S. Kandola, Matthew McDermott, Tristan Naumann, Peter Schulam, Farah Shamout, Alexandre Yahi

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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Natural Language Processing for EHR-Based Computational Phenotyping


Jun 14, 2018
Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann, Yuan Luo


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Opportunities in Machine Learning for Healthcare


Jun 05, 2018
Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L. Beam, Rajesh Ranganath

* Corrected preprint footer 

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Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes


Mar 07, 2018
Willie Boag, Tristan Naumann, Peter Szolovits


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CliNER 2.0: Accessible and Accurate Clinical Concept Extraction


Mar 06, 2018
Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha, Peter Szolovits, Anna Rumshisky, Tristan Naumann


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