Natural Language Processing

Articles published in 2019 in this theme: 30 (scroll down to load remaining articles)

2019

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Efficient Reuse of Natural Language Processing Models for Phenotype-Mention Identification in Free-text Electronic Medical Records: A Phenotype Embedding Approach

Honghan Wu, Karen Hodgson, Sue Dyson, Katherine I Morley, Zina M Ibrahim, Ehtesham Iqbal, Robert Stewart, Richard JB Dobson, Cathie Sudlow

JMIR Med Inform 2019 (Dec 17); 7(4):e14782

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Impact of Automatic Query Generation and Quality Recognition Using Deep Learning to Curate Evidence From Biomedical Literature: Empirical Study

Muhammad Afzal, Maqbool Hussain, Khalid Mahmood Malik, Sungyoung Lee

JMIR Med Inform 2019 (Dec 09); 7(4):e13430

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Patient-Reported Outcomes in Online Communications on Statins, Memory, and Cognition: Qualitative Analysis Using Online Communities

Farris Timimi, Sara Ray, Erik Jones, Lee Aase, Kathleen Hoffman

J Med Internet Res 2019 (Nov 28); 21(11):e14809

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Using a Large Margin Context-Aware Convolutional Neural Network to Automatically Extract Disease-Disease Association from Literature: Comparative Analytic Study

Po-Ting Lai, Wei-Liang Lu, Ting-Rung Kuo, Chia-Ru Chung, Jen-Chieh Han, Richard Tzong-Han Tsai, Jorng-Tzong Horng

JMIR Med Inform 2019 (Nov 26); 7(4):e14502

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Using Social Media to Uncover Treatment Experiences and Decisions in Patients With Acute Myeloid Leukemia or Myelodysplastic Syndrome Who Are Ineligible for Intensive Chemotherapy: Patient-Centric Qualitative Data Analysis

Alison Booth, Timothy Bell, Sonia Halhol, Shiyu Pan, Verna Welch, Evie Merinopoulou, Dimitra Lambrelli, Andrew Cox

J Med Internet Res 2019 (Nov 22); 21(11):e14285

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Combining Contextualized Embeddings and Prior Knowledge for Clinical Named Entity Recognition: Evaluation Study

Min Jiang, Todd Sanger, Xiong Liu

JMIR Med Inform 2019 (Nov 13); 7(4):e14850

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Automatic Detection of Hypoglycemic Events From the Electronic Health Record Notes of Diabetes Patients: Empirical Study

Yonghao Jin, Fei Li, Varsha G Vimalananda, Hong Yu

JMIR Med Inform 2019 (Nov 08); 7(4):e14340

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Extracting Clinical Features From Dictated Ambulatory Consult Notes Using a Commercially Available Natural Language Processing Tool: Pilot, Retrospective, Cross-Sectional Validation Study

Jeremy Petch, Jane Batt, Joshua Murray, Muhammad Mamdani

JMIR Med Inform 2019 (Nov 01); 7(4):e12575

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Cohort Selection for Clinical Trials From Longitudinal Patient Records: Text Mining Approach

Irena Spasic, Dominik Krzeminski, Padraig Corcoran, Alexander Balinsky

JMIR Med Inform 2019 (Oct 31); 7(4):e15980

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Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study

Fei Li, Yonghao Jin, Weisong Liu, Bhanu Pratap Singh Rawat, Pengshan Cai, Hong Yu

JMIR Med Inform 2019 (Sep 12); 7(3):e14830

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Assessing the Availability of Data on Social and Behavioral Determinants in Structured and Unstructured Electronic Health Records: A Retrospective Analysis of a Multilevel Health Care System

Elham Hatef, Masoud Rouhizadeh, Iddrisu Tia, Elyse Lasser, Felicia Hill-Briggs, Jill Marsteller, Hadi Kharrazi

JMIR Med Inform 2019 (Aug 02); 7(3):e13802

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Word Embedding for the French Natural Language in Health Care: Comparative Study

Emeric Dynomant, Romain Lelong, Badisse Dahamna, Clément Massonnaud, Gaétan Kerdelhué, Julien Grosjean, Stéphane Canu, Stefan J Darmoni

JMIR Med Inform 2019 (Jul 29); 7(3):e12310

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Projection Word Embedding Model With Hybrid Sampling Training for Classifying ICD-10-CM Codes: Longitudinal Observational Study

Chin Lin, Yu-Sheng Lou, Dung-Jang Tsai, Chia-Cheng Lee, Chia-Jung Hsu, Ding-Chung Wu, Mei-Chuen Wang, Wen-Hui Fang

JMIR Med Inform 2019 (Jul 23); 7(3):e14499

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Improving the Efficacy of the Data Entry Process for Clinical Research With a Natural Language Processing–Driven Medical Information Extraction System: Quantitative Field Research

Jiang Han, Ken Chen, Lei Fang, Shaodian Zhang, Fei Wang, Handong Ma, Liebin Zhao, Shijian Liu

JMIR Med Inform 2019 (Jul 16); 7(3):e13331

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Mining of Textual Health Information from Reddit: Analysis of Chronic Diseases With Extracted Entities and Their Relations

Vasiliki Foufi, Tatsawan Timakum, Christophe Gaudet-Blavignac, Christian Lovis, Min Song

J Med Internet Res 2019 (Jun 13); 21(6):e12876

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Identifying Key Topics Bearing Negative Sentiment on Twitter: Insights Concerning the 2015-2016 Zika Epidemic

Ravali Mamidi, Michele Miller, Tanvi Banerjee, William Romine, Amit Sheth

JMIR Public Health Surveill 2019 (Jun 04); 5(2):e11036

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Early Detection of Adverse Drug Reactions in Social Health Networks: A Natural Language Processing Pipeline for Signal Detection

Azadeh Nikfarjam, Julia D Ransohoff, Alison Callahan, Erik Jones, Brian Loew, Bernice Y Kwong, Kavita Y Sarin, Nigam H Shah

JMIR Public Health Surveill 2019 (Jun 03); 5(2):e11264

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Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani

JMIR Med Inform 2019 (May 07); 7(2):e12239

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Natural Language Processing for the Identification of Silent Brain Infarcts From Neuroimaging Reports

Sunyang Fu, Lester Y Leung, Yanshan Wang, Anne-Olivia Raulli, David F Kallmes, Kristin A Kinsman, Kristoff B Nelson, Michael S Clark, Patrick H Luetmer, Paul R Kingsbury, David M Kent, Hongfang Liu

JMIR Med Inform 2019 (May 03); 7(2):e12109

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Improving Moderator Responsiveness in Online Peer Support Through Automated Triage

David N Milne, Kathryn L. McCabe, Rafael A. Calvo

J Med Internet Res 2019 (Apr 26); 21(4):e11410

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