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A Pilot Study of Biomedical Text Comprehension using an Attention-Based Deep Neural Reader: Design and Experimental Analysis

A Pilot Study of Biomedical Text Comprehension using an Attention-Based Deep Neural Reader: Design and Experimental Analysis

Currently, there are no datasets for biomedical text comprehension tasks, and thus a computer’s ability to comprehend biomedical domain knowledge has not yet been verified.In this article, we propose a machine comprehension task on biomedical literature.

Seongsoon Kim, Donghyeon Park, Yonghwa Choi, Kyubum Lee, Byounggun Kim, Minji Jeon, Jihye Kim, Aik Choon Tan, Jaewoo Kang

JMIR Med Inform 2018;6(1):e2


The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study

The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study

Morante and Daelemans [38] created a negation cue and scope detection system in biomedical text. This system identifies negation cues using the compressed decision tree (IGTREE) algorithm.

Renzo Rivera Zavala, Paloma Martinez

JMIR Med Inform 2020;8(12):e18953


Text Simplification Using Consumer Health Vocabulary to Generate Patient-Centered Radiology Reporting: Translation and Evaluation

Text Simplification Using Consumer Health Vocabulary to Generate Patient-Centered Radiology Reporting: Translation and Evaluation

The focus of text simplification is to produce a more readable and understandable text for the reader, without considering if it is shorter or longer. This distinguishes it from text summarization, where the major goal is text shortening.

Basel Qenam, Tae Youn Kim, Mark J Carroll, Michael Hogarth

J Med Internet Res 2017;19(12):e417


Use of Videos Improves Informed Consent Comprehension in Web-Based Surveys Among Internet-Using Men Who Have Sex With Men: A Randomized Controlled Trial

Use of Videos Improves Informed Consent Comprehension in Web-Based Surveys Among Internet-Using Men Who Have Sex With Men: A Randomized Controlled Trial

The objective of our study was to assess if comprehension of key informed consent facts improved through the use of these new techniques versus a standard text-based informed consent form.MethodsStudy DesignA randomized trial (Clinicaltrials.gov NCT02139566

Eric William Hall, Travis H Sanchez, Aryeh D Stein, Rob Stephenson, Maria Zlotorzynska, Robert Craig Sineath, Patrick S Sullivan

J Med Internet Res 2017;19(3):e64


Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations

Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations

Therefore, information technologies that support EHR comprehension are much needed to supplement the widespread use of patient portals and EHRs among patients.To support patient EHR comprehension, this work focuses on identifying medical terms that matter most

Jinying Chen, Jiaping Zheng, Hong Yu

JMIR Med Inform 2016;4(4):e40