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Tristan Naumann

MIT Comput. Sci. & Artificial Intell. Lab, Cambridge, MA, USA|c|

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ML4H Abstract Track 2019

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

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A Review of Challenges and Opportunities in Machine Learning for Health

Marzyeh Ghassemi,Tristan Naumann, Peter Schulam,Andrew L Beam, Irene Y Chen,Rajesh Ranganath

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, (2020): 191-200

WOSBibtex

Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation

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

ML4H@NeurIPS, pp.202-219, (2019)

Bibtex

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

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

Bibtex

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

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

Bibtex

Opportunities in Machine Learning for Healthcare

Ghassemi Marzyeh,Naumann Tristan, Schulam Peter,Beam Andrew L., Chen Irene Y.,Ranganath Rajesh

Cited by35Bibtex

Publicly Available Clinical BERT Embeddings

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

arXiv: Computation and Language, (2019)

Cited by96EIBibtex

Practical guidance on artificial intelligence for health-care data

Marzyeh Ghassemi,Tristan Naumann,Peter Schulam,Andrew L Beam, Irene Y Chen,Rajesh Ranganath

The Lancet. Digital health, no. 4 (2019)

WOSBibtex

Bayesian Trees for Automated Cytometry Data Analysis

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

MLHC, pp.381-405, (2019)

EIBibtex

Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation

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

ML4H@NeurIPS, pp.202-219, (2019)

EIBibtex

Opportunities in Machine Learning for Healthcare

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

arXiv: Learning, (2018)

Cited by35EIBibtex

Natural Language Processing for EHR-Based Computational Phenotyping

Zexian Zeng,Yu Deng,Xiaoyu Li,Tristan Naumann,Yuan Luo

IEEE/ACM transactions on computational biology and bioinformatics, no. 1 (2018): 139-153

Cited by22EIWOSBibtex

Visualizing Patient Timelines in the Intensive Care Unit

Dina Levy-Lambert,Jen J. Gong,Tristan Naumann,Tom J. Pollard,John V. Guttag

arXiv: Computers and Society, (2018)

EIBibtex

Generalizability of predictive models for intensive care unit patients

Alistair E. W. Johnson,Tom J. Pollard,Tristan Naumann

arXiv: Learning, (2018)

EIBibtex

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

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

arXiv: Learning, (2018)

EIBibtex

Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANs

Matthew B. A. McDermott, Tom Yan,Tristan Naumann, Nathan Hunt,Harini Suresh,Peter Szolovits,Marzyeh Ghassemi

THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTI..., pp.2363-2370, (2018)

Cited by9EIBibtex

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

Willie Boag,Tristan Naumann,Peter Szolovits

arXiv: Computation and Language, (2018)

Cited by1EIBibtex

CliNER 2.0: Accessible and Accurate Clinical Concept Extraction

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

arXiv: Computation and Language, (2018)

Cited by11EIBibtex

Machine Learning for Health (ML4H) Workshop at NeurIPS 2018

Natalia Antropova, Andrew L. Bream, Brett K. Beaulieu-Jones, Irene Chen, Corey Chivers,Adrian Dalca, Sam Finlayson,Madalina Fiterau,Jason Alan Fries,Marzyeh Ghassemi, Mike Hughes, Bruno Jedynak

arXiv: Learning, (2018)

Cited by3EIBibtex

Predicting Clinical Outcomes Across Changing Electronic Health Record Systems

Jen J. Gong,Tristan Naumann,Peter Szolovits,John V. Guttag

KDD, pp.1497-1505, (2017)

Cited by15EIBibtex

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