Theme Issue 2020:National NLP Clinical Challenges/Open Health Natural Language Processing 2019 Challenge Selected Papers

Articles published in this theme: 17 (scroll down to load remaining articles)

2021

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Benchmarking Effectiveness and Efficiency of Deep Learning Models for Semantic Textual Similarity in the Clinical Domain: Validation Study

Qingyu Chen, Alex Rankine, Yifan Peng, Elaheh Aghaarabi, Zhiyong Lu

JMIR Med Inform 2021 (Dec 30); 9(12):e27386

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Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis

Mark Ormerod, Jesús Martínez del Rincón, Barry Devereux

JMIR Med Inform 2021 (May 26); 9(5):e23099

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Extracting Family History Information From Electronic Health Records: Natural Language Processing Analysis

Maciej Rybinski, Xiang Dai, Sonit Singh, Sarvnaz Karimi, Anthony Nguyen

JMIR Med Inform 2021 (Apr 30); 9(4):e24020

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A Hybrid Model for Family History Information Identification and Relation Extraction: Development and Evaluation of an End-to-End Information Extraction System

Youngjun Kim, Paul M Heider, Isabel RH Lally, Stéphane M Meystre

JMIR Med Inform 2021 (Apr 22); 9(4):e22797

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Novel Graph-Based Model With Biaffine Attention for Family History Extraction From Clinical Text: Modeling Study

Kecheng Zhan, Weihua Peng, Ying Xiong, Huhao Fu, Qingcai Chen, Xiaolong Wang, Buzhou Tang

JMIR Med Inform 2021 (Apr 21); 9(4):e23587

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Measuring Adoption of Patient Priorities–Aligned Care Using Natural Language Processing of Electronic Health Records: Development and Validation of the Model

Javad Razjouyan, Jennifer Freytag, Lilian Dindo, Lea Kiefer, Edward Odom, Jaime Halaszynski, Jennifer W Silva, Aanand D Naik

JMIR Med Inform 2021 (Feb 19); 9(2):e18756

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Adapting Bidirectional Encoder Representations from Transformers (BERT) to Assess Clinical Semantic Textual Similarity: Algorithm Development and Validation Study

Klaus Kades, Jan Sellner, Gregor Koehler, Peter M Full, T Y Emmy Lai, Jens Kleesiek, Klaus H Maier-Hein

JMIR Med Inform 2021 (Feb 03); 9(2):e22795

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Family History Extraction From Synthetic Clinical Narratives Using Natural Language Processing: Overview and Evaluation of a Challenge Data Set and Solutions for the 2019 National NLP Clinical Challenges (n2c2)/Open Health Natural Language Processing (OHNLP) Competition

Feichen Shen, Sijia Liu, Sunyang Fu, Yanshan Wang, Sam Henry, Ozlem Uzuner, Hongfang Liu

JMIR Med Inform 2021 (Jan 27); 9(1):e24008

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ALBERT-Based Self-Ensemble Model With Semisupervised Learning and Data Augmentation for Clinical Semantic Textual Similarity Calculation: Algorithm Validation Study

Junyi Li, Xuejie Zhang, Xiaobing Zhou

JMIR Med Inform 2021 (Jan 22); 9(1):e23086

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Clinical Term Normalization Using Learned Edit Patterns and Subconcept Matching: System Development and Evaluation

Rohit J Kate

JMIR Med Inform 2021 (Jan 14); 9(1):e23104

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2020

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Extraction of Family History Information From Clinical Notes: Deep Learning and Heuristics Approach

João Figueira Silva, João Rafael Almeida, Sérgio Matos

JMIR Med Inform 2020 (Dec 29); 8(12):e22898

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Using Character-Level and Entity-Level Representations to Enhance Bidirectional Encoder Representation From Transformers-Based Clinical Semantic Textual Similarity Model: ClinicalSTS Modeling Study

Ying Xiong, Shuai Chen, Qingcai Chen, Jun Yan, Buzhou Tang

JMIR Med Inform 2020 (Dec 29); 8(12):e23357

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Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models

Xi Yang, Hansi Zhang, Xing He, Jiang Bian, Yonghui Wu

JMIR Med Inform 2020 (Dec 15); 8(12):e22982

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Family History Information Extraction With Neural Attention and an Enhanced Relation-Side Scheme: Algorithm Development and Validation

Hong-Jie Dai, You-Qian Lee, Chandini Nekkantti, Jitendra Jonnagaddala

JMIR Med Inform 2020 (Dec 01); 8(12):e21750

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The 2019 n2c2/OHNLP Track on Clinical Semantic Textual Similarity: Overview

Yanshan Wang, Sunyang Fu, Feichen Shen, Sam Henry, Ozlem Uzuner, Hongfang Liu

JMIR Med Inform 2020 (Nov 27); 8(11):e23375

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Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning

Diwakar Mahajan, Ananya Poddar, Jennifer J Liang, Yen-Ting Lin, John M Prager, Parthasarathy Suryanarayanan, Preethi Raghavan, Ching-Huei Tsou

JMIR Med Inform 2020 (Nov 27); 8(11):e22508

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Measurement of Semantic Textual Similarity in Clinical Texts: Comparison of Transformer-Based Models

Xi Yang, Xing He, Hansi Zhang, Yinghan Ma, Jiang Bian, Yonghui Wu

JMIR Med Inform 2020 (Nov 23); 8(11):e19735

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