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Classifying Long Clinical Documents with Pre-trained Transformers


May 14, 2021
Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar, Dmitriy Dligach


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Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review


Oct 06, 2020
Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy Miller, Fei Wang, W. Jim Zheng, Kirk Roberts


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Two-stage Federated Phenotyping and Patient Representation Learning


Aug 14, 2019
Dianbo Liu, Dmitriy Dligach, Timothy Miller

* 9 pages; Proceedings of the 18th BioNLP Workshop and Shared Task 

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FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record


Dec 03, 2018
Dianbo Liu, Timothy Miller, Raheel Sayeed, Kenneth D. Mandl

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 
* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:cs/0101200 

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Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction


Sep 10, 2018
Lifeng Jin, Finale Doshi-Velez, Timothy Miller, William Schuler, Lane Schwartz

* EMNLP 2018 

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Learning Patient Representations from Text


May 05, 2018
Dmitriy Dligach, Timothy Miller

* Accepted to *SEM 2018 

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Unsupervised Grammar Induction with Depth-bounded PCFG


Feb 26, 2018
Lifeng Jin, Finale Doshi-Velez, Timothy Miller, William Schuler, Lane Schwartz

* Accepted by Transactions of the Association for Computational Linguistics 

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