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1
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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2
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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3
A natural language processing and deep learning approach to identify child abuse from pediatric electronic medical records
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A natural language processing and deep learning approach to identify child abuse from pediatric electronic medical records

PloS one, 2021-02, Vol.16 (2), p.e0247404-e0247404 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;COPYRIGHT 2021 Public Library of Science ;2021 Annapragada et al 2021 Annapragada et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0247404 ;PMID: 33635890

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4
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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5
Predictive modeling for odor character of a chemical using machine learning combined with natural language processing
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Predictive modeling for odor character of a chemical using machine learning combined with natural language processing

PloS one, 2018-06, Vol.13 (6), p.e0198475-e0198475 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Nozaki, Nakamoto. 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. ;2018 Nozaki, Nakamoto 2018 Nozaki, Nakamoto ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0198475 ;PMID: 29902194

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6
Technology opportunity discovery by structuring user needs based on natural language processing and machine learning
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Technology opportunity discovery by structuring user needs based on natural language processing and machine learning

PloS one, 2019-10, Vol.14 (10), p.e0223404-e0223404 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Roh 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. ;2019 Roh et al 2019 Roh et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0223404 ;PMID: 31661516

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7
Characterization of patients with advanced chronic pancreatitis using natural language processing of radiology reports
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Characterization of patients with advanced chronic pancreatitis using natural language processing of radiology reports

PloS one, 2020-08, Vol.15 (8), p.e0236817-e0236817 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Xie 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 Xie et al 2020 Xie et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0236817 ;PMID: 32813684

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8
Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approach
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Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approach

PloS one, 2020-09, Vol.15 (9), p.e0239694-e0239694 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Shray Alag. 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 Shray Alag 2020 Shray Alag ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0239694 ;PMID: 32997699

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9
Research on the evolution and driving forces of the manufacturing industry during the "13th five-year plan" period in Jiangsu province of China based on natural language processing
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Research on the evolution and driving forces of the manufacturing industry during the "13th five-year plan" period in Jiangsu province of China based on natural language processing

PloS one, 2021-08, Vol.16 (8), p.e0256162-e0256162 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;2021 Shen 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. ;2021 Shen et al 2021 Shen et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0256162 ;PMID: 34407153

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10
What predicts legislative success of early care and education policies?: Applications of machine learning and Natural Language Processing in a cross-state early childhood policy analysis
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Article
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What predicts legislative success of early care and education policies?: Applications of machine learning and Natural Language Processing in a cross-state early childhood policy analysis

PloS one, 2021-02, Vol.16 (2), p.e0246730-e0246730 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;COPYRIGHT 2021 Public Library of Science ;This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0246730 ;PMID: 33571216

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11
Cohort profile: St. Michael's Hospital Tuberculosis Database (SMH-TB), a retrospective cohort of electronic health record data and variables extracted using natural language processing
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Article
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Cohort profile: St. Michael's Hospital Tuberculosis Database (SMH-TB), a retrospective cohort of electronic health record data and variables extracted using natural language processing

PloS one, 2021-03, Vol.16 (3), p.e0247872-e0247872 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;2021 Landsman et al 2021 Landsman et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0247872 ;PMID: 33657184

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12
Reading Akkadian cuneiform using natural language processing
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Article
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Reading Akkadian cuneiform using natural language processing

PloS one, 2020-10, Vol.15 (10), p.e0240511-e0240511 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Gordin 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 Gordin et al 2020 Gordin et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0240511 ;PMID: 33112872

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13
Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports
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Article
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Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports

PloS one, 2020-06, Vol.15 (6), p.e0234908-e0234908 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0234908 ;PMID: 32559211

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14
Adverse drug event detection using natural language processing: A scoping review of supervised learning methods
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Article
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Adverse drug event detection using natural language processing: A scoping review of supervised learning methods

PloS one, 2023-01, Vol.18 (1), p.e0279842 [Peer Reviewed Journal]

Copyright: © 2023 Murphy 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 2023 Public Library of Science ;2023 Murphy 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. ;2023 Murphy et al 2023 Murphy et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0279842 ;PMID: 36595517

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15
Applications of natural language processing at emergency department triage: A narrative review
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Applications of natural language processing at emergency department triage: A narrative review

PloS one, 2023-12, Vol.18 (12), p.e0279953-e0279953 [Peer Reviewed Journal]

Copyright: © 2023 Stewart 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 2023 Public Library of Science ;2023 Stewart et al 2023 Stewart et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0279953 ;PMID: 38096321

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16
Systematic evaluation of common natural language processing techniques to codify clinical notes
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Systematic evaluation of common natural language processing techniques to codify clinical notes

PloS one, 2024-03, Vol.19 (3), p.e0298892-e0298892 [Peer Reviewed Journal]

Copyright: © 2024 Tavabi 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 Tavabi et al 2024 Tavabi et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0298892 ;PMID: 38451905

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17
Identification of suicidal behavior among psychiatrically hospitalized adolescents using natural language processing and machine learning of electronic health records
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Identification of suicidal behavior among psychiatrically hospitalized adolescents using natural language processing and machine learning of electronic health records

PloS one, 2019-02, Vol.14 (2), p.e0211116-e0211116 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Carson 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. ;2019 Carson et al 2019 Carson et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0211116 ;PMID: 30779800

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18
E-scooter related injuries: Using natural language processing to rapidly search 36 million medical notes
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E-scooter related injuries: Using natural language processing to rapidly search 36 million medical notes

PloS one, 2022-04, Vol.17 (4), p.e0266097-e0266097 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0266097 ;PMID: 35385532

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19
Natural language processing for cognitive therapy: Extracting schemas from thought records
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Natural language processing for cognitive therapy: Extracting schemas from thought records

PloS one, 2021-10, Vol.16 (10), p.e0257832-e0257832 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;2021 Burger 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. ;2021 Burger et al 2021 Burger et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0257832 ;PMID: 34662350

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20
Extraction of use case diagram elements using natural language processing and network science
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Extraction of use case diagram elements using natural language processing and network science

PloS one, 2023-06, Vol.18 (6), p.e0287502-e0287502 [Peer Reviewed Journal]

Copyright: © 2023 Imtiaz Malik 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 2023 Public Library of Science ;2023 Imtiaz Malik 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. ;2023 Imtiaz Malik et al 2023 Imtiaz Malik et al ;2023 Imtiaz Malik 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. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0287502 ;PMID: 37352209

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