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Results 1 - 20 of 70,542  for All Library Resources

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1
Natural language processing: fast forwarding research to the “good stuff”: Natural language processing for nutrition
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Natural language processing: fast forwarding research to the “good stuff”: Natural language processing for nutrition

The American journal of clinical nutrition, 2023-03, Vol.117 (3), p.449-450 [Peer Reviewed Journal]

2023 ;ISSN: 0002-9165 ;EISSN: 1938-3207 ;DOI: 10.1016/j.ajcnut.2022.12.012 ;PMID: 36872013

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2
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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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
Successful Mining of Important Data from Patient Archives with Natural Language Processing: Commentary on an article by Caroline P. Thirukumaran, MBBS, MHA, PhD, et al.: “Natural Language Processing for the Identification of Surgical Site Infections in Orthopaedics”
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Successful Mining of Important Data from Patient Archives with Natural Language Processing: Commentary on an article by Caroline P. Thirukumaran, MBBS, MHA, PhD, et al.: “Natural Language Processing for the Identification of Surgical Site Infections in Orthopaedics”

Journal of bone and joint surgery. American volume, 2019-12, Vol.101 (24), p.e135-e135 [Peer Reviewed Journal]

Copyright 2019 by The Journal of Bone and Joint Surgery, Incorporated ;ISSN: 0021-9355 ;EISSN: 1535-1386 ;DOI: 10.2106/JBJS.19.01122 ;PMID: 31851109

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5
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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6
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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7
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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8
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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9
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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10
Systematic review of the concept ‘male involvement in maternal health’ by natural language processing and descriptive analysis
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Article
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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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11
Natural Language Processing and the Promise of Big Data: Small Step Forward, but Many Miles to Go
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Article
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Natural Language Processing and the Promise of Big Data: Small Step Forward, but Many Miles to Go

Circulation Cardiovascular quality and outcomes, 2015-09, Vol.8 (5), p.463-465 [Peer Reviewed Journal]

ISSN: 1941-7713 ;EISSN: 1941-7705 ;DOI: 10.1161/CIRCOUTCOMES.115.002125 ;PMID: 26286870

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12
DeepPhe: A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records
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DeepPhe: A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records

Cancer research (Chicago, Ill.), 2017-11, Vol.77 (21), p.e115-e118 [Peer Reviewed Journal]

2017 American Association for Cancer Research. ;Copyright American Association for Cancer Research, Inc. Nov 1, 2017 ;ISSN: 0008-5472 ;EISSN: 1538-7445 ;DOI: 10.1158/0008-5472.CAN-17-0615 ;PMID: 29092954

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13
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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14
Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke
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Article
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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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15
Negation's not solved: generalizability versus optimizability in clinical natural language processing
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Article
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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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16
Identification of methicillin-resistant Staphylococcus aureus within the nation's Veterans Affairs medical centers using natural language processing
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Article
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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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17
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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18
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
Automatic inference of ICD-10 codes from German ophthalmologic physicians' letters using natural language processing
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Article
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Automatic inference of ICD-10 codes from German ophthalmologic physicians' letters using natural language processing

Scientific reports, 2024-04, Vol.14 (1), p.9035-9035 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 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. ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-59926-3 ;PMID: 38641674

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20
Toward Using Twitter for Tracking COVID-19: A Natural Language Processing Pipeline and Exploratory Data Set
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Toward Using Twitter for Tracking COVID-19: A Natural Language Processing Pipeline and Exploratory Data Set

Journal of medical Internet research, 2021-01, Vol.23 (1), p.e25314-e25314 [Peer Reviewed Journal]

Ari Z Klein, Arjun Magge, Karen O'Connor, Jesus Ivan Flores Amaro, Davy Weissenbacher, Graciela Gonzalez Hernandez. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.01.2021. ;Copyright Gunther Eysenbach MD MPH, Associate Professor Jan 2021 ;Ari Z Klein, Arjun Magge, Karen O'Connor, Jesus Ivan Flores Amaro, Davy Weissenbacher, Graciela Gonzalez Hernandez. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.01.2021. 2021 ;ISSN: 1438-8871 ;ISSN: 1439-4456 ;EISSN: 1438-8871 ;DOI: 10.2196/25314 ;PMID: 33449904

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