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

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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