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Results 1 - 20 of 112,622  for All Library Resources

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1
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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2
Qualifying Certainty in Radiology Reports through Deep Learning–Based Natural Language Processing
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Qualifying Certainty in Radiology Reports through Deep Learning–Based Natural Language Processing

American journal of neuroradiology : AJNR, 2021-10, Vol.42 (10), p.1755-1761 [Peer Reviewed Journal]

2021 by American Journal of Neuroradiology 2021 American Journal of Neuroradiology ;ISSN: 0195-6108 ;EISSN: 1936-959X ;DOI: 10.3174/ajnr.A7241 ;PMID: 34413062

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3
EventEpi-A natural language processing framework for event-based surveillance
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EventEpi-A natural language processing framework for event-based surveillance

PLoS computational biology, 2020-11, Vol.16 (11), p.e1008277-e1008277 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Abbood 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 Abbood et al 2020 Abbood et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1008277 ;PMID: 33216746

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4
A Study of the Effects of the COVID-19 Pandemic on the Experience of Back Pain Reported on Twitter ® in the United States: A Natural Language Processing Approach
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A Study of the Effects of the COVID-19 Pandemic on the Experience of Back Pain Reported on Twitter ® in the United States: A Natural Language Processing Approach

International journal of environmental research and public health, 2021-04, Vol.18 (9), p.4543 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. 2021 ;ISSN: 1660-4601 ;ISSN: 1661-7827 ;EISSN: 1660-4601 ;DOI: 10.3390/ijerph18094543 ;PMID: 33922924

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5
The reporting of neuropsychiatric symptoms in electronic health records of individuals with Alzheimer's disease: a natural language processing study
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The reporting of neuropsychiatric symptoms in electronic health records of individuals with Alzheimer's disease: a natural language processing study

Alzheimer's research & therapy, 2023-05, Vol.15 (1), p.94-94, Article 94 [Peer Reviewed Journal]

2023. The Author(s). ;COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2023 ;ISSN: 1758-9193 ;EISSN: 1758-9193 ;DOI: 10.1186/s13195-023-01240-7 ;PMID: 37173801

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6
CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines
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CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines

Journal of the American Medical Informatics Association : JAMIA, 2018-03, Vol.25 (3), p.331-336 [Peer Reviewed Journal]

The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2017 ;The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocx132 ;PMID: 29186491

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7
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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8
Clinical Natural Language Processing in languages other than English: opportunities and challenges
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Clinical Natural Language Processing in languages other than English: opportunities and challenges

Journal of biomedical semantics, 2018-03, Vol.9 (1), p.12-12, Article 12 [Peer Reviewed Journal]

COPYRIGHT 2018 BioMed Central Ltd. ;Distributed under a Creative Commons Attribution 4.0 International License ;The Author(s) 2018 ;ISSN: 2041-1480 ;EISSN: 2041-1480 ;DOI: 10.1186/s13326-018-0179-8 ;PMID: 29602312

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9
Identification of Adverse Drug Event-Related Japanese Articles: Natural Language Processing Analysis
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Identification of Adverse Drug Event-Related Japanese Articles: Natural Language Processing Analysis

JMIR medical informatics, 2020-11, Vol.8 (11), p.e22661-e22661 [Peer Reviewed Journal]

Shogo Ujiie, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 27.11.2020. ;Shogo Ujiie, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 27.11.2020. 2020 ;ISSN: 2291-9694 ;EISSN: 2291-9694 ;DOI: 10.2196/22661 ;PMID: 33245290

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10
A regulatory challenge for natural language processing (NLP)‐based tools such as ChatGPT to be legally used for healthcare decisions. Where are we now?
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A regulatory challenge for natural language processing (NLP)‐based tools such as ChatGPT to be legally used for healthcare decisions. Where are we now?

Clinical and translational medicine, 2023-08, Vol.13 (8), p.e1362-n/a [Peer Reviewed Journal]

2023 The Authors. published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics. ;2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2001-1326 ;EISSN: 2001-1326 ;DOI: 10.1002/ctm2.1362 ;PMID: 37548259

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11
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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12
Evaluation of Natural Language Processing for the Identification of Crohn Disease-Related Variables in Spanish Electronic Health Records: A Validation Study for the PREMONITION-CD Project
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Evaluation of Natural Language Processing for the Identification of Crohn Disease-Related Variables in Spanish Electronic Health Records: A Validation Study for the PREMONITION-CD Project

JMIR medical informatics, 2022-02, Vol.10 (2), p.e30345-e30345 [Peer Reviewed Journal]

Carmen Montoto, Javier P Gisbert, Iván Guerra, Rocío Plaza, Ramón Pajares Villarroya, Luis Moreno Almazán, María Del Carmen López Martín, Mercedes Domínguez Antonaya, Isabel Vera Mendoza, Jesús Aparicio, Vicente Martínez, Ignacio Tagarro, Alonso Fernandez-Nistal, Lea Canales, Sebastian Menke, Fernando Gomollón, PREMONITION-CD Study Group. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 18.02.2022. ;2022. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Carmen Montoto, Javier P Gisbert, Iván Guerra, Rocío Plaza, Ramón Pajares Villarroya, Luis Moreno Almazán, María Del Carmen López Martín, Mercedes Domínguez Antonaya, Isabel Vera Mendoza, Jesús Aparicio, Vicente Martínez, Ignacio Tagarro, Alonso Fernandez-Nistal, Lea Canales, Sebastian Menke, Fernando Gomollón, PREMONITION-CD Study Group. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 18.02.2022. 2022 ;ISSN: 2291-9694 ;EISSN: 2291-9694 ;DOI: 10.2196/30345 ;PMID: 35179507

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13
Natural Language Processing in Pathology: Current Trends and Future Insights
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Natural Language Processing in Pathology: Current Trends and Future Insights

The American journal of pathology, 2022-11, Vol.192 (11), p.1486-1495 [Peer Reviewed Journal]

EISSN: 1525-2191 ;DOI: 10.1016/j.ajpath.2022.07.012

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14
NOBLE - Flexible concept recognition for large-scale biomedical natural language processing
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NOBLE - Flexible concept recognition for large-scale biomedical natural language processing

BMC bioinformatics, 2016-01, Vol.17 (17), p.32-32, Article 32 [Peer Reviewed Journal]

COPYRIGHT 2016 BioMed Central Ltd. ;Tseytlin et al. 2016 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-015-0871-y ;PMID: 26763894

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15
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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16
Home Health Care Clinicians' Use of Judgment Language for Black and Hispanic Patients: Natural Language Processing Study
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Home Health Care Clinicians' Use of Judgment Language for Black and Hispanic Patients: Natural Language Processing Study

JMIR nursing, 2023-04, Vol.6, p.e42552-e42552 [Peer Reviewed Journal]

Maxim Topaz, Jiyoun Song, Anahita Davoudi, Margaret McDonald, Jacquelyn Taylor, Scott Sittig, Kathryn Bowles. Originally published in JMIR Nursing (https://nursing.jmir.org), 17.04.2023. ;2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Maxim Topaz, Jiyoun Song, Anahita Davoudi, Margaret McDonald, Jacquelyn Taylor, Scott Sittig, Kathryn Bowles. Originally published in JMIR Nursing (https://nursing.jmir.org), 17.04.2023. 2023 ;ISSN: 2562-7600 ;EISSN: 2562-7600 ;DOI: 10.2196/42552 ;PMID: 37067893

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17
Negation's not solved: generalizability versus optimizability in clinical natural language processing
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Negation's not solved: generalizability versus optimizability in clinical natural language processing

PloS one, 2014-11, Vol.9 (11), p.e112774-e112774 [Peer Reviewed Journal]

2014 Wu 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 Wu et al 2014 Wu et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0112774 ;PMID: 25393544

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18
Identification of methicillin-resistant Staphylococcus aureus within the nation's Veterans Affairs medical centers using natural language processing
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Identification of methicillin-resistant Staphylococcus aureus within the nation's Veterans Affairs medical centers using natural language processing

BMC medical informatics and decision making, 2012-07, Vol.12 (1), p.34-34, Article 34 [Peer Reviewed Journal]

COPYRIGHT 2012 BioMed Central Ltd. ;2012 Jones et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ;Copyright ©2012 Jones et al.; licensee BioMed Central Ltd. 2012 Jones et al.; licensee BioMed Central Ltd. ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/1472-6947-12-34 ;PMID: 22533507

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19
Phase‐encoded fMRI tracks down brainstorms of natural language processing with subsecond precision
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Phase‐encoded fMRI tracks down brainstorms of natural language processing with subsecond precision

Human brain mapping, 2024-02, Vol.45 (2), p.e26617-n/a [Peer Reviewed Journal]

2024 The Authors. published by Wiley Periodicals LLC. ;2024 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. ;2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1065-9471 ;EISSN: 1097-0193 ;DOI: 10.1002/hbm.26617 ;PMID: 38339788

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20
Natural language processing for aviation safety: extracting knowledge from publicly-available loss of separation reports
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Natural language processing for aviation safety: extracting knowledge from publicly-available loss of separation reports

Open research Europe, 2021-01, Vol.1, p.110-110 [Peer Reviewed Journal]

Copyright: © 2022 Buselli I et al. 2022 ;ISSN: 2732-5121 ;EISSN: 2732-5121 ;DOI: 10.12688/openreseurope.14040.2

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