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

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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