Articles with public access mandates - Tristan NaumannLearn more
Available somewhere: 21
Domain-specific language model pretraining for biomedical natural language processing
Y Gu, R Tinn, H Cheng, M Lucas, N Usuyama, X Liu, T Naumann, J Gao, ...
ACM Transactions on Computing for Healthcare (HEALTH) 3 (1), 1-23, 2021
Mandates: US National Science Foundation
A review of challenges and opportunities in machine learning for health
M Ghassemi, T Naumann, P Schulam, AL Beam, IY Chen, R Ranganath
AMIA Summits on Translational Science Proceedings 2020, 191, 2020
Mandates: US National Institutes of Health, Natural Sciences and Engineering Research …
Unfolding physiological state: Mortality modelling in intensive care units
M Ghassemi, T Naumann, F Doshi-Velez, N Brimmer, R Joshi, ...
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Mandates: US National Institutes of Health
A multivariate timeseries modeling approach to severity of illness assessment and forecasting in ICU with sparse, heterogeneous clinical data
M Ghassemi, M Pimentel, T Naumann, T Brennan, D Clifton, P Szolovits, ...
Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015
Mandates: US National Institutes of Health, Fundação para a Ciência e a Tecnologia …
Mimic-extract: A data extraction, preprocessing, and representation pipeline for mimic-iii
S Wang, MBA McDermott, G Chauhan, M Ghassemi, MC Hughes, ...
Proceedings of the ACM conference on health, inference, and learning, 222-235, 2020
Mandates: US National Science Foundation, US National Institutes of Health, Natural …
Predicting early psychiatric readmission with natural language processing of narrative discharge summaries
A Rumshisky, M Ghassemi, T Naumann, P Szolovits, VM Castro, ...
Translational psychiatry 6 (10), e921-e921, 2016
Mandates: US National Institutes of Health
Natural language processing for EHR-based computational phenotyping
Z Zeng, Y Deng, X Li, T Naumann, Y Luo
IEEE/ACM transactions on computational biology and bioinformatics 16 (1 …, 2018
Mandates: US National Institutes of Health
Feature robustness in non-stationary health records: caveats to deployable model performance in common clinical machine learning tasks
B Nestor, MBA McDermott, W Boag, G Berner, T Naumann, MC Hughes, ...
Machine Learning for Healthcare Conference, 381-405, 2019
Mandates: US National Institutes of Health, Natural Sciences and Engineering Research …
A “datathon” model to support cross-disciplinary collaboration
J Aboab, LA Celi, P Charlton, M Feng, M Ghassemi, DC Marshall, ...
Science Translational Medicine 8 (333), 333ps8-333ps8, 2016
Mandates: US National Institutes of Health
What’s in a note? unpacking predictive value in clinical note representations
W Boag, D Doss, T Naumann, P Szolovits
AMIA Summits on Translational Science Proceedings 2018, 26, 2018
Mandates: US National Science Foundation, US National Institutes of Health
Trends and focus of machine learning applications for health research
B Beaulieu-Jones, SG Finlayson, C Chivers, I Chen, M McDermott, ...
JAMA network open 2 (10), e1914051-e1914051, 2019
Mandates: US National Institutes of Health
Predicting clinical outcomes across changing electronic health record systems
JJ Gong, T Naumann, P Szolovits, JV Guttag
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
Mandates: US National Science Foundation, US National Institutes of Health
Semi-supervised biomedical translation with cycle wasserstein regression GANs
M McDermott, T Yan, T Naumann, N Hunt, H Suresh, P Szolovits, ...
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Mandates: US National Institutes of Health
Topic models for mortality modeling in intensive care units
M Ghassemi, T Naumann, R Joshi, A Rumshisky
ICML 2012 Machine Learning for Clinical Data Analysis Workshop, 2012
Mandates: US National Institutes of Health
Cross-language aphasia detection using optimal transport domain adaptation
A Balagopalan, J Novikova, MBA Mcdermott, B Nestor, T Naumann, ...
Machine Learning for Health Workshop, 202-219, 2020
Mandates: Natural Sciences and Engineering Research Council of Canada
Datathons and software to promote reproducible research
LA Celi, S Lokhandwala, R Montgomery, C Moses, T Naumann, T Pollard, ...
Journal of Medical Internet Research 18 (8), e6365, 2016
Mandates: US National Institutes of Health
What are the desired characteristics of calibration sets? identifying correlates on long form scientific summarization
G Adams, BH Nguyen, J Smith, Y Xia, S Xie, A Ostropolets, B Deb, ...
Proceedings of the conference. Association for Computational Linguistics …, 2023
Mandates: US National Institutes of Health
Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact
A Balagopalan, I Baldini, LA Celi, J Gichoya, LG McCoy, T Naumann, ...
PLOS Digital Health 3 (4), e0000474, 2024
Mandates: Robert Wood Johnson Foundation
Scaling the physionet WFDB toolbox for MATLAB and octave
T Naumann, I Silva
Computing in Cardiology 2014, 161-164, 2014
Mandates: US National Institutes of Health
Beyond Clinical Trials: Using Real World Evidence to Investigate Heterogeneous, Time-Varying Treatment Effects
I Chien, C Wong, Z Gero, J Bagga, R Ueno, RE Turner, RK Weerasinghe, ...
Mandates: UK Engineering and Physical Sciences Research Council
Publication and funding information is determined automatically by a computer program