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Natural language processing: fast forwarding research to the “good stuff”: Natural language processing for nutrition
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
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
Qualifying Certainty in Radiology Reports through Deep Learning–Based Natural Language Processing
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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4
EventEpi-A natural language processing framework for event-based surveillance
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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5
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”
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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6
Semi-supervised learning with natural language processing for right ventricle classification in echocardiography—a scalable approach
Semi-supervised learning with natural language processing for right ventricle classification in echocardiography—a scalable approach
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Semi-supervised learning with natural language processing for right ventricle classification in echocardiography—a scalable approach

Computers in biology and medicine, 2022-04, Vol.143, p.105282-105282, Article 105282 [Peer Reviewed Journal]

2022 The Authors ;Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved. ;2022. The Authors ;ISSN: 0010-4825 ;ISSN: 1879-0534 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2022.105282 ;PMID: 35220074

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7
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
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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8
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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9
Is Deep-Learning and Natural Language Processing Transcending the Financial Forecasting? Investigation Through Lens of News Analytic Process
Is Deep-Learning and Natural Language Processing Transcending the Financial Forecasting? Investigation Through Lens of News Analytic Process
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Is Deep-Learning and Natural Language Processing Transcending the Financial Forecasting? Investigation Through Lens of News Analytic Process

Computational economics, 2022-06, Vol.60 (1), p.147-171 [Peer Reviewed Journal]

The Author(s) 2021 ;COPYRIGHT 2022 Springer ;The Author(s) 2021. 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: 1572-9974 ;ISSN: 0927-7099 ;EISSN: 1572-9974 ;DOI: 10.1007/s10614-021-10145-2

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10
The reporting of neuropsychiatric symptoms in electronic health records of individuals with Alzheimer's disease: a natural language processing study
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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11
CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines
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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12
All that glitters: Interannotator agreement in natural language processing
All that glitters: Interannotator agreement in natural language processing
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All that glitters: Interannotator agreement in natural language processing

Nordlyd, 2022, Vol.46 (1), p.19 [Peer Reviewed Journal]

Copyright Universitetet i Tromsoe 2022 ;ISSN: 1503-8599 ;ISSN: 0332-7531 ;EISSN: 1503-8599 ;DOI: 10.7557/12.6348

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13
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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14
Clinical Natural Language Processing in languages other than English: opportunities and challenges
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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15
Natural language processing methods for knowledge management—Applying document clustering for fast search and grouping of engineering documents
Natural language processing methods for knowledge management—Applying document clustering for fast search and grouping of engineering documents
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Natural language processing methods for knowledge management—Applying document clustering for fast search and grouping of engineering documents

Concurrent engineering, research and applications, 2021-06, Vol.29 (2), p.142-152 [Peer Reviewed Journal]

The Author(s) 2021 ;ISSN: 1063-293X ;ISSN: 1531-2003 ;EISSN: 1531-2003 ;DOI: 10.1177/1063293X20982973

Digital Resources/Online E-Resources

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16
Elementary, My Dear Watson—The Era of Natural Language Processing in Transplantation
Elementary, My Dear Watson—The Era of Natural Language Processing in Transplantation
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Elementary, My Dear Watson—The Era of Natural Language Processing in Transplantation

American journal of transplantation, 2017-03, Vol.17 (3), p.595-596 [Peer Reviewed Journal]

2016 The American Society of Transplantation and the American Society of Transplant Surgeons ;2017 the American Society of Transplantation and the American Society of Transplant Surgeons ;ISSN: 1600-6135 ;EISSN: 1600-6143 ;DOI: 10.1111/ajt.14164 ;PMID: 27977903

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17
Differences in Chinese and Western tourists faced with Japanese hospitality: a natural language processing approach
Differences in Chinese and Western tourists faced with Japanese hospitality: a natural language processing approach
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Differences in Chinese and Western tourists faced with Japanese hospitality: a natural language processing approach

Information technology & tourism, 2021-09, Vol.23 (3), p.381-438 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 1098-3058 ;EISSN: 1943-4294 ;DOI: 10.1007/s40558-021-00203-8

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18
Identification of Adverse Drug Event-Related Japanese Articles: Natural Language Processing Analysis
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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19
Prediction of Academic Performance of Students in Online Live Classroom Interactions—An Analysis Using Natural Language Processing and Deep Learning Methods
Prediction of Academic Performance of Students in Online Live Classroom Interactions—An Analysis Using Natural Language Processing and Deep Learning Methods
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Prediction of Academic Performance of Students in Online Live Classroom Interactions—An Analysis Using Natural Language Processing and Deep Learning Methods

Journal of social computing, 2023-03, Vol.4 (1), p.12-29 [Peer Reviewed Journal]

ISSN: 2688-5255 ;EISSN: 2688-5255 ;DOI: 10.23919/JSC.2023.0007

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20
A Paradigm Shift from “Human Writing” to “Machine Generation” in Personality Test Development: an Application of State-of-the-Art Natural Language Processing
A Paradigm Shift from “Human Writing” to “Machine Generation” in Personality Test Development: an Application of State-of-the-Art Natural Language Processing
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A Paradigm Shift from “Human Writing” to “Machine Generation” in Personality Test Development: an Application of State-of-the-Art Natural Language Processing

Journal of business and psychology, 2023-02, Vol.38 (1), p.163-190 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 0889-3268 ;EISSN: 1573-353X ;DOI: 10.1007/s10869-022-09864-6

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