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Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.

J. Gao, G. Chen, A. O'Rourke, J. Caskey, K. Carey, M. Oguss, A. Stey, D. Dligach, T. Miller, A. Mayampurath, M. Churpek, and M. Afshar. J. Am. Medical Informatics Assoc., 31 (6): 1291-1302 (2024)

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Dmitriy Nikolayev

Dmitriy Izychev

Dmitriy Stukalin

Dmitriy Shevela

Dmitriy Logashenko

Other publications of authors with the same name

A common type system for clinical natural language processing.S. Wu, V. Kaggal, D. Dligach, J. Masanz, P. Chen, L. Becker, W. Chapman, G. Savova, H. Liu, C. Chute and 1 other author(s). J. Biomedical Semantics, (2013)Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record.C. Lin, E. Karlson, D. Dligach, M. Ramirez, T. Miller, H. Mo, N. Braggs, A. Cagan, V. Gainer, J. Denny and 1 other author(s). J. Am. Medical Informatics Assoc., 22 (e1): e151-e161 (2015)Good Seed Makes a Good Crop: Accelerating Active Learning Using Language Modeling.D. Dligach, and M. Palmer. ACL (2), page 6-10. The Association for Computer Linguistics, (2011)Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data.S. Chen, J. Gallifant, M. Guevara, Y. Gao, M. Afshar, T. Miller, D. Dligach, and D. Bitterman. CoRR, (2024)Improving Temporal Relation Extraction with Training Instance Augmentation.C. Lin, T. Miller, D. Dligach, S. Bethard, and G. Savova. BioNLP@ACL, page 108-113. Association for Computational Linguistics, (2016)Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability.Y. Gao, S. Myers, S. Chen, D. Dligach, T. Miller, D. Bitterman, G. Chen, A. Mayampurath, M. Churpek, and M. Afshar. CoRR, (2024)Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies.S. Myers, T. Miller, Y. Gao, M. Churpek, A. Mayampurath, D. Dligach, and M. Afshar. J. Am. Medical Informatics Assoc., 32 (2): 357-364 (2025)LCD benchmark: long clinical document benchmark on mortality prediction for language models.W. Yoon, S. Chen, Y. Gao, Z. Zhao, D. Dligach, D. Bitterman, M. Afshar, and T. Miller. J. Am. Medical Informatics Assoc., 32 (2): 285-295 (2025)Multilayered temporal modeling for the clinical domain.C. Lin, D. Dligach, T. Miller, S. Bethard, and G. Savova. J. Am. Medical Informatics Assoc., 23 (2): 387-395 (2016)Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients.B. Sharma, D. Dligach, K. Swope, E. Salisbury-Afshar, N. Karnik, C. Joyce, and M. Afshar. BMC Medical Informatics Decis. Mak., 20 (1): 79 (2020)

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Disambiguation of "Dligach, Dmitriy"

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Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.

Please choose a person to relate this publication to

Dmitriy Nikolayev

Dmitriy Izychev

Dmitriy Stukalin

Dmitriy Shevela

Dmitriy Logashenko

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Dligach, Dmitriy"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.

Please choose a person to relate this publication to

Dmitriy Nikolayev

Dmitriy Izychev

Dmitriy Stukalin

Dmitriy Shevela

Dmitriy Logashenko

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.