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Results 1 - 20 of 19,855  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
Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review
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Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review

Drug safety, 2017-11, Vol.40 (11), p.1075-1089 [Peer Reviewed Journal]

Springer International Publishing AG 2017 ;Copyright Springer Nature B.V. Nov 2017 ;ISSN: 0114-5916 ;EISSN: 1179-1942 ;DOI: 10.1007/s40264-017-0558-6

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3
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
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Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

JMIR medical informatics, 2019-04, Vol.7 (2), p.e12239-e12239 [Peer Reviewed Journal]

Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 27.04.2019. ;2019. 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. ;Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 27.04.2019. 2019 ;ISSN: 2291-9694 ;EISSN: 2291-9694 ;DOI: 10.2196/12239 ;PMID: 31066697

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4
Machine Learning and Natural Language Processing in Mental Health: Systematic Review
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Machine Learning and Natural Language Processing in Mental Health: Systematic Review

Journal of medical Internet research, 2021-05, Vol.23 (5), p.e15708-e15708 [Peer Reviewed Journal]

Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor, Philippe Lenca, Romain Billot, Taylor C Ryan, Jonathan Marsh, Jordan DeVylder, Michel Walter, Sofian Berrouiguet, Christophe Lemey. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 04.05.2021. ;2021. 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. ;Attribution ;Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor, Philippe Lenca, Romain Billot, Taylor C Ryan, Jonathan Marsh, Jordan DeVylder, Michel Walter, Sofian Berrouiguet, Christophe Lemey. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 04.05.2021. 2021 ;ISSN: 1438-8871 ;ISSN: 1439-4456 ;EISSN: 1438-8871 ;DOI: 10.2196/15708 ;PMID: 33944788

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5
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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6
Brains and algorithms partially converge in natural language processing
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Brains and algorithms partially converge in natural language processing

Communications biology, 2022-02, Vol.5 (1), p.134-134, Article 134 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. corrected publication 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. ;Distributed under a Creative Commons Attribution 4.0 International License ;The Author(s) 2022 ;ISSN: 2399-3642 ;EISSN: 2399-3642 ;DOI: 10.1038/s42003-022-03036-1 ;PMID: 35173264

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7
Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review
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Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review

Journal of the American Medical Informatics Association : JAMIA, 2019-04, Vol.26 (4), p.364-379 [Peer Reviewed Journal]

The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com 2019 ;The Author(s) 2019. 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: 1527-974X ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocy173 ;PMID: 30726935

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8
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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9
Augmenting Qualitative Text Analysis with Natural Language Processing: Methodological Study
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Augmenting Qualitative Text Analysis with Natural Language Processing: Methodological Study

Journal of medical Internet research, 2018-06, Vol.20 (6), p.e231-e231 [Peer Reviewed Journal]

Timothy C Guetterman, Tammy Chang, Melissa DeJonckheere, Tanmay Basu, Elizabeth Scruggs, VG Vinod Vydiswaran. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 29.06.2018. ;2018. 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. ;Timothy C Guetterman, Tammy Chang, Melissa DeJonckheere, Tanmay Basu, Elizabeth Scruggs, VG Vinod Vydiswaran. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 29.06.2018. 2018 ;ISSN: 1438-8871 ;ISSN: 1439-4456 ;EISSN: 1438-8871 ;DOI: 10.2196/JMIR.9702 ;PMID: 29959110

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10
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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11
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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12
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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13
Development of phenotype algorithms using electronic medical records and incorporating natural language processing
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Development of phenotype algorithms using electronic medical records and incorporating natural language processing

BMJ (Online), 2015-04, Vol.350 (apr24 11), p.h1885-h1885 [Peer Reviewed Journal]

BMJ Publishing Group Ltd 2015 ;Copyright BMJ Publishing Group LTD Apr 24, 2015 ;BMJ Publishing Group Ltd 2015 2015 BMJ Publishing Group Ltd ;ISSN: 0959-8138 ;ISSN: 1756-1833 ;EISSN: 1756-1833 ;DOI: 10.1136/bmj.h1885 ;PMID: 25911572

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14
Systematic review of current natural language processing methods and applications in cardiology
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Article
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Systematic review of current natural language processing methods and applications in cardiology

Heart (British Cardiac Society), 2022-06, Vol.108 (12), p.909-916 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ. ;2022 Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ. ;ISSN: 1355-6037 ;EISSN: 1468-201X ;DOI: 10.1136/heartjnl-2021-319769 ;PMID: 34711662

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15
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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16
Automatic inference of ICD-10 codes from German ophthalmologic physicians' letters using natural language processing
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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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17
Deciphering microbial gene function using natural language processing
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Deciphering microbial gene function using natural language processing

Nature communications, 2022-09, Vol.13 (1), p.5731-5731, Article 5731 [Peer Reviewed Journal]

The Author(s) 2022. 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. ;The Author(s) 2022 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-022-33397-4 ;PMID: 36175448

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18
VNLP: Visible natural language processing
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Article
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VNLP: Visible natural language processing

Information visualization, 2021-10, Vol.20 (4), p.245-262 [Peer Reviewed Journal]

The Author(s) 2021 ;ISSN: 1473-8716 ;EISSN: 1473-8724 ;DOI: 10.1177/14738716211038898

Digital Resources/Online E-Resources

19
Deep-learning natural language processing for oncological applications
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Article
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Deep-learning natural language processing for oncological applications

The lancet oncology, 2020-12, Vol.21 (12), p.1553-1556 [Peer Reviewed Journal]

2020 Elsevier Ltd ;2020. Elsevier Ltd ;ISSN: 1470-2045 ;EISSN: 1474-5488 ;DOI: 10.1016/S1470-2045(20)30615-X ;PMID: 33271088

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20
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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