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1
Natural language metaphors covertly influence reasoning
Natural language metaphors covertly influence reasoning
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Natural language metaphors covertly influence reasoning

PloS one, 2013-01, Vol.8 (1), p.e52961 [Peer Reviewed Journal]

COPYRIGHT 2013 Public Library of Science ;COPYRIGHT 2013 Public Library of Science ;2013 Thibodeau, Boroditsky. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2013 Thibodeau, Boroditsky 2013 Thibodeau, Boroditsky ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0052961 ;PMID: 23301009

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2
When do natural language metaphors influence reasoning? A follow-up study to Thibodeau and Boroditsky (2013)
When do natural language metaphors influence reasoning? A follow-up study to Thibodeau and Boroditsky (2013)
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When do natural language metaphors influence reasoning? A follow-up study to Thibodeau and Boroditsky (2013)

PloS one, 2014-12, Vol.9 (12), p.e113536-e113536 [Peer Reviewed Journal]

COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Steen et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2014 Steen et al 2014 Steen et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0113536 ;PMID: 25490704

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3
Application of a Natural Language Processing Algorithm to Asthma Ascertainment. An Automated Chart Review
Application of a Natural Language Processing Algorithm to Asthma Ascertainment. An Automated Chart Review
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Application of a Natural Language Processing Algorithm to Asthma Ascertainment. An Automated Chart Review

American journal of respiratory and critical care medicine, 2017-08, Vol.196 (4), p.430-437 [Peer Reviewed Journal]

Copyright American Thoracic Society Aug 15, 2017 ;Copyright © 2017 by the American Thoracic Society 2017 ;ISSN: 1073-449X ;EISSN: 1535-4970 ;DOI: 10.1164/rccm.201610-2006oc ;PMID: 28375665

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4
Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke
Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke
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Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke

PloS one, 2019-02, Vol.14 (2), p.e0212778-e0212778 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Kim et al 2019 Kim et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0212778 ;PMID: 30818342

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5
Statistical Learning in a Natural Language by 8-Month-Old Infants
Statistical Learning in a Natural Language by 8-Month-Old Infants
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Statistical Learning in a Natural Language by 8-Month-Old Infants

Child development, 2009-05, Vol.80 (3), p.674-685 [Peer Reviewed Journal]

Copyright 2009 The Society for Research in Child Development, Inc. ;2009, Copyright the Author(s). Journal Compilation © 2009, Society for Research in Child Development, Inc. ;2009 INIST-CNRS ;Copyright Blackwell Publishing Ltd. May/Jun 2009 ;2009, Copyright the Author(s) Journal Compilation © 2009, Society for Research in Child Development, Inc. All rights reserved. 2009 ;ISSN: 0009-3920 ;ISSN: 1467-8624 ;EISSN: 1467-8624 ;DOI: 10.1111/j.1467-8624.2009.01290.x ;PMID: 19489896 ;CODEN: CHDEAW

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6
Impact of deep brain stimulation of the subthalamic nucleus on natural language in patients with Parkinson's disease
Impact of deep brain stimulation of the subthalamic nucleus on natural language in patients with Parkinson's disease
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Impact of deep brain stimulation of the subthalamic nucleus on natural language in patients with Parkinson's disease

PloS one, 2020-12, Vol.15 (12), p.e0244148-e0244148 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Ehlen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 Ehlen et al 2020 Ehlen et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0244148 ;PMID: 33373418

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7
The marital and fertility sentiment orientation of Chinese women and its influencing factors - An analysis based on natural language processing
The marital and fertility sentiment orientation of Chinese women and its influencing factors - An analysis based on natural language processing
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The marital and fertility sentiment orientation of Chinese women and its influencing factors - An analysis based on natural language processing

PloS one, 2024-02, Vol.19 (2), p.e0296910-e0296910 [Peer Reviewed Journal]

Copyright: © 2024 He et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2024 Public Library of Science ;2024 He et al 2024 He et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0296910 ;PMID: 38381720

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8
Natural, Everyday Language Use Provides a Window Into the Integrity of Older Adults’ Executive Functioning
Natural, Everyday Language Use Provides a Window Into the Integrity of Older Adults’ Executive Functioning
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Natural, Everyday Language Use Provides a Window Into the Integrity of Older Adults’ Executive Functioning

The journals of gerontology. Series B, Psychological sciences and social sciences, 2020-10, Vol.75 (9), p.e215-e220 [Peer Reviewed Journal]

The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2020 ;The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. ;ISSN: 1079-5014 ;EISSN: 1758-5368 ;DOI: 10.1093/geronb/gbaa055 ;PMID: 32310293

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9
Use of natural language processing in electronic medical records to identify pregnant women with suicidal behavior: towards a solution to the complex classification problem
Use of natural language processing in electronic medical records to identify pregnant women with suicidal behavior: towards a solution to the complex classification problem
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Use of natural language processing in electronic medical records to identify pregnant women with suicidal behavior: towards a solution to the complex classification problem

European journal of epidemiology, 2019-02, Vol.34 (2), p.153-162 [Peer Reviewed Journal]

Springer Nature B.V. 2018 ;European Journal of Epidemiology is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0393-2990 ;EISSN: 1573-7284 ;DOI: 10.1007/s10654-018-0470-0 ;PMID: 30535584

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10
Forty-two Million Ways to Describe Pain: Topic Modeling of 200,000 PubMed Pain-Related Abstracts Using Natural Language Processing and Deep Learning–Based Text Generation
Forty-two Million Ways to Describe Pain: Topic Modeling of 200,000 PubMed Pain-Related Abstracts Using Natural Language Processing and Deep Learning–Based Text Generation
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Forty-two Million Ways to Describe Pain: Topic Modeling of 200,000 PubMed Pain-Related Abstracts Using Natural Language Processing and Deep Learning–Based Text Generation

Pain medicine (Malden, Mass.), 2020-11, Vol.21 (11), p.3133-3160 [Peer Reviewed Journal]

The Author(s) 2020. Published by Oxford University Press on behalf of the American Academy of Pain Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2020 ;The Author(s) 2020. Published by Oxford University Press on behalf of the American Academy of Pain Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. ;COPYRIGHT 2020 Oxford University Press ;The Author(s) 2020. Published by Oxford University Press on behalf of the American Academy of Pain Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com ;ISSN: 1526-2375 ;EISSN: 1526-4637 ;DOI: 10.1093/pm/pnaa061 ;PMID: 32249306

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11
Extracting Pain Care Quality Indicators from U.S. Veterans Health Administration Chiropractic Care Using Natural Language Processing
Extracting Pain Care Quality Indicators from U.S. Veterans Health Administration Chiropractic Care Using Natural Language Processing
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Extracting Pain Care Quality Indicators from U.S. Veterans Health Administration Chiropractic Care Using Natural Language Processing

Applied clinical informatics, 2023-05, Vol.14 (3), p.600-608 [Peer Reviewed Journal]

The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/). ;The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( ) 2023 The Author(s). ;ISSN: 1869-0327 ;EISSN: 1869-0327 ;DOI: 10.1055/a-2091-1162 ;PMID: 37164327

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12
A natural language processing framework to analyse the opinions on HPV vaccination reflected in twitter over 10 years (2008 - 2017)
A natural language processing framework to analyse the opinions on HPV vaccination reflected in twitter over 10 years (2008 - 2017)
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A natural language processing framework to analyse the opinions on HPV vaccination reflected in twitter over 10 years (2008 - 2017)

Human vaccines & immunotherapeutics, 2019-08, Vol.15 (7-8), p.1496-1504 [Peer Reviewed Journal]

2019 Taylor & Francis Group, LLC 2019 ;2019 Taylor & Francis Group, LLC 2019 Taylor & Francis ;ISSN: 2164-5515 ;EISSN: 2164-554X ;DOI: 10.1080/21645515.2019.1627821 ;PMID: 31194609

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13
Development of a Natural Language Processing Model for deriving breast cancer quality indicators : A cross-sectional, multicenter study
Development of a Natural Language Processing Model for deriving breast cancer quality indicators : A cross-sectional, multicenter study
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Development of a Natural Language Processing Model for deriving breast cancer quality indicators : A cross-sectional, multicenter study

Revue d'épidémiologie et de santé publique, 2023-12, Vol.71 (6) [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0398-7620 ;EISSN: 1773-0627 ;DOI: 10.1016/j.respe.2023.102189

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14
Prediction During Natural Language Comprehension
Prediction During Natural Language Comprehension
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Prediction During Natural Language Comprehension

Cerebral cortex (New York, N.Y. 1991), 2016-06, Vol.26 (6), p.2506-2516 [Peer Reviewed Journal]

The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com. ;ISSN: 1047-3211 ;EISSN: 1460-2199 ;DOI: 10.1093/cercor/bhv075 ;PMID: 25903464

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15
A Natural Language Processing–Based Approach for Identifying Hospitalizations for Worsening Heart Failure Within an Integrated Health Care Delivery System
A Natural Language Processing–Based Approach for Identifying Hospitalizations for Worsening Heart Failure Within an Integrated Health Care Delivery System
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A Natural Language Processing–Based Approach for Identifying Hospitalizations for Worsening Heart Failure Within an Integrated Health Care Delivery System

JAMA Network Open, 2021-11, Vol.4 (11), p.e2135152-e2135152 [Peer Reviewed Journal]

2021. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright 2021 Ambrosy AP et al. . ;ISSN: 2574-3805 ;EISSN: 2574-3805 ;DOI: 10.1001/jamanetworkopen.2021.35152 ;PMID: 34807259

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16
Systematic review of the concept ‘male involvement in maternal health’ by natural language processing and descriptive analysis
Systematic review of the concept ‘male involvement in maternal health’ by natural language processing and descriptive analysis
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Systematic review of the concept ‘male involvement in maternal health’ by natural language processing and descriptive analysis

BMJ global health, 2021-04, Vol.6 (4), p.e004909 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. ;2021 Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2021 ;ISSN: 2059-7908 ;EISSN: 2059-7908 ;DOI: 10.1136/bmjgh-2020-004909 ;PMID: 33846143

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17
Associations Between Natural Language Processing–Enriched Social Determinants of Health and Suicide Death Among US Veterans
Associations Between Natural Language Processing–Enriched Social Determinants of Health and Suicide Death Among US Veterans
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Associations Between Natural Language Processing–Enriched Social Determinants of Health and Suicide Death Among US Veterans

JAMA Network Open, 2023-03, Vol.6 (3), p.e233079-e233079 [Peer Reviewed Journal]

Copyright 2023 Mitra A et al. . ;ISSN: 2574-3805 ;EISSN: 2574-3805 ;DOI: 10.1001/jamanetworkopen.2023.3079 ;PMID: 36920391

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18
Discerning Tumor Status from Unstructured MRI Reports—Completeness of Information in Existing Reports and Utility of Automated Natural Language Processing
Discerning Tumor Status from Unstructured MRI Reports—Completeness of Information in Existing Reports and Utility of Automated Natural Language Processing
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Discerning Tumor Status from Unstructured MRI Reports—Completeness of Information in Existing Reports and Utility of Automated Natural Language Processing

Journal of digital imaging, 2010-04, Vol.23 (2), p.119-132 [Peer Reviewed Journal]

Society for Imaging Informatics in Medicine 2009 ;Society for Imaging Informatics in Medicine 2010 ;ISSN: 0897-1889 ;EISSN: 1618-727X ;DOI: 10.1007/s10278-009-9215-7 ;PMID: 19484309

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19
Personality, gender, and age in the language of social media: the open-vocabulary approach
Personality, gender, and age in the language of social media: the open-vocabulary approach
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Personality, gender, and age in the language of social media: the open-vocabulary approach

PloS one, 2013-09, Vol.8 (9), p.e73791-e73791 [Peer Reviewed Journal]

COPYRIGHT 2013 Public Library of Science ;2013 Schwartz et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2013 Schwartz et al 2013 Schwartz et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0073791 ;PMID: 24086296

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20
Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study
Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study
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Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study

Journal of medical Internet research, 2020-10, Vol.22 (10), p.e22635-e22635 [Peer Reviewed Journal]

Daniel M Low, Laurie Rumker, Tanya Talkar, John Torous, Guillermo Cecchi, Satrajit S Ghosh. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 12.10.2020. ;Copyright Gunther Eysenbach MD MPH, Associate Professor Oct 2020 ;Daniel M Low, Laurie Rumker, Tanya Talkar, John Torous, Guillermo Cecchi, Satrajit S Ghosh. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 12.10.2020. 2020 ;ISSN: 1438-8871 ;ISSN: 1439-4456 ;EISSN: 1438-8871 ;DOI: 10.2196/22635 ;PMID: 32936777

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