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Results 1 - 20 of 3,678  for All Library Resources

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1
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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2
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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3
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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4
Reading Akkadian cuneiform using natural language processing
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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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5
Research on the Natural Language Recognition Method Based on Cluster Analysis Using Neural Network
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Research on the Natural Language Recognition Method Based on Cluster Analysis Using Neural Network

Mathematical problems in engineering, 2021, Vol.2021, p.1-13 [Peer Reviewed Journal]

Copyright © 2021 Guang Li et al. ;COPYRIGHT 2021 Hindawi Limited ;Copyright © 2021 Guang Li et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;ISSN: 1024-123X ;EISSN: 1563-5147 ;DOI: 10.1155/2021/9982305

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6
KEGG orthology prediction of bacterial proteins using natural language processing
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KEGG orthology prediction of bacterial proteins using natural language processing

BMC bioinformatics, 2024-04, Vol.25 (1), p.146-146 [Peer Reviewed Journal]

2024. The Author(s). ;COPYRIGHT 2024 BioMed Central Ltd. ;2024. 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) 2024 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-024-05766-x ;PMID: 38600441

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7
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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8
Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports
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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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9
Machine learning in medicine: a practical introduction to natural language processing
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Machine learning in medicine: a practical introduction to natural language processing

BMC medical research methodology, 2021-07, Vol.21 (1), p.1-158, Article 158 [Peer Reviewed Journal]

COPYRIGHT 2021 BioMed Central Ltd. ;2021. 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) 2021 ;ISSN: 1471-2288 ;EISSN: 1471-2288 ;DOI: 10.1186/s12874-021-01347-1 ;PMID: 34332525

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10
Natural language processing in an intelligent writing strategy tutoring system
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Natural language processing in an intelligent writing strategy tutoring system

Behavior research methods, 2013-06, Vol.45 (2), p.499-515 [Peer Reviewed Journal]

Psychonomic Society, Inc. 2012 ;Copyright Springer Science & Business Media Jun 2013 ;ISSN: 1554-3528 ;ISSN: 1554-351X ;EISSN: 1554-3528 ;DOI: 10.3758/s13428-012-0258-1 ;PMID: 23055164

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11
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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12
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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13
Natural language processing augments comorbidity documentation in neurosurgical inpatient admissions
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Natural language processing augments comorbidity documentation in neurosurgical inpatient admissions

PloS one, 2024-05, Vol.19 (5), p.e0303519-e0303519 [Peer Reviewed Journal]

Copyright: © 2024 Sastry 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 Sastry et al 2024 Sastry et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0303519 ;PMID: 38723044

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14
Natural language processing for Nepali text: a review
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Article
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Natural language processing for Nepali text: a review

The Artificial intelligence review, 2022-04, Vol.55 (4), p.3401-3429 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Nature B.V. 2021 ;COPYRIGHT 2022 Springer ;The Author(s), under exclusive licence to Springer Nature B.V. 2021. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-021-10093-1

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15
Extracting cancer concepts from clinical notes using natural language processing: a systematic review
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Article
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Extracting cancer concepts from clinical notes using natural language processing: a systematic review

BMC bioinformatics, 2023-10, Vol.24 (1), p.1-405, Article 405 [Peer Reviewed Journal]

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: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-023-05480-0 ;PMID: 37898795

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16
E-scooter related injuries: Using natural language processing to rapidly search 36 million medical notes
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Article
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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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17
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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18
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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19
Word Embeddings Reveal How Fundamental Sentiments Structure Natural Language
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Word Embeddings Reveal How Fundamental Sentiments Structure Natural Language

The American behavioral scientist (Beverly Hills), 2023-02, Vol.67 (2), p.175-200 [Peer Reviewed Journal]

2022 SAGE Publications ;ISSN: 0002-7642 ;EISSN: 1552-3381 ;DOI: 10.1177/00027642211066046

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20
Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing
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Article
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Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing

PloS one, 2020-03, Vol.15 (3), p.e0229331-e0229331 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Fernandes et al 2020 Fernandes et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0229331 ;PMID: 32126097

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