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A REVIEW OF NATURAL LANGUAGE PROCESSING BASED INFORMATION EXTRACTION
A REVIEW OF NATURAL LANGUAGE PROCESSING BASED INFORMATION EXTRACTION
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A REVIEW OF NATURAL LANGUAGE PROCESSING BASED INFORMATION EXTRACTION

NeuroQuantology, 2022-01, Vol.20 (12), p.3705

Copyright NeuroQuantology 2022 ;EISSN: 1303-5150 ;DOI: 10.14704/NQ.2022.20.12.NQ773698

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Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia
Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia
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Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia

Brain informatics, 2020-10, Vol.7 (1), p.11-11, Article 11 [Peer Reviewed Journal]

The Author(s) 2020 ;COPYRIGHT 2020 Springer ;ISSN: 2198-4018 ;EISSN: 2198-4026 ;DOI: 10.1186/s40708-020-00112-2 ;PMID: 33034769

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Studying expressions of loneliness in individuals using twitter: an observational study
Studying expressions of loneliness in individuals using twitter: an observational study
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Studying expressions of loneliness in individuals using twitter: an observational study

BMJ open, 2019-11, Vol.9 (11), p.e030355-e030355 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. ;2019 Author(s) (or their employer(s)) 2019. 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)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2019 ;ISSN: 2044-6055 ;EISSN: 2044-6055 ;DOI: 10.1136/bmjopen-2019-030355 ;PMID: 31685502

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4
Concerns among people who use opioids during the COVID-19 pandemic: a natural language processing analysis of social media posts
Concerns among people who use opioids during the COVID-19 pandemic: a natural language processing analysis of social media posts
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Concerns among people who use opioids during the COVID-19 pandemic: a natural language processing analysis of social media posts

Substance abuse treatment, prevention and policy, 2022-03, Vol.17 (1), p.16-16, Article 16 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022 ;ISSN: 1747-597X ;EISSN: 1747-597X ;DOI: 10.1186/s13011-022-00442-w ;PMID: 35248103

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5
Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project
Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project
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Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project

BMJ open, 2017-01, Vol.7 (1), p.e012012-e012012 [Peer Reviewed Journal]

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing ;Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/. ;Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ 2017 This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://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. ;Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ 2017 ;ISSN: 2044-6055 ;EISSN: 2044-6055 ;DOI: 10.1136/bmjopen-2016-012012 ;PMID: 28096249

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6
Natural Language Processing of Electronic Patient Records to Predict Psychiatric Inpatients at Risk of Early Readmission to Hospital Using Predictive Models Derived Through Machine Learning
Natural Language Processing of Electronic Patient Records to Predict Psychiatric Inpatients at Risk of Early Readmission to Hospital Using Predictive Models Derived Through Machine Learning
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Natural Language Processing of Electronic Patient Records to Predict Psychiatric Inpatients at Risk of Early Readmission to Hospital Using Predictive Models Derived Through Machine Learning

BJPsych open, 2022-06, Vol.8 (S1), p.S6-S6 [Peer Reviewed Journal]

Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists ;Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists. This work is licensed under the Creative Commons Attribution License 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. ;The Author(s) 2022 2022 The Author(s) ;ISSN: 2056-4724 ;EISSN: 2056-4724 ;DOI: 10.1192/bjo.2022.87

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7
The Development of a Quantum-based Ontology for the Description of the Reality Experienced in NDEs by Using Computerized NLP Analytics
The Development of a Quantum-based Ontology for the Description of the Reality Experienced in NDEs by Using Computerized NLP Analytics
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The Development of a Quantum-based Ontology for the Description of the Reality Experienced in NDEs by Using Computerized NLP Analytics

NeuroQuantology, 2022, Vol.20 (2), p.10-22

Copyright NeuroQuantology 2022 ;ISSN: 1303-5150 ;EISSN: 1303-5150 ;DOI: 10.14704/nq.2022.20.2.NQ22019

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8
Cognitive Impairment and Rehabilitation Strategies After Traumatic Brain Injury
Cognitive Impairment and Rehabilitation Strategies After Traumatic Brain Injury
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Cognitive Impairment and Rehabilitation Strategies After Traumatic Brain Injury

Indian journal of psychological medicine, 2016-05, Vol.38 (3), p.172-181 [Peer Reviewed Journal]

2016 Indian Psychiatric Society - South Zonal Branch ;COPYRIGHT 2016 Indian Psychiatric Society, South Zone ;COPYRIGHT 2016 Sage Publications Ltd. (UK) ;Copyright Medknow Publications & Media Pvt Ltd May-Jun 2016 ;Copyright: © Indian Journal of Psychological Medicine 2016 ;ISSN: 0253-7176 ;EISSN: 0975-1564 ;DOI: 10.4103/0253-7176.183086 ;PMID: 27335510

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9
Studies on English Grammar: A Bibliometric Analysis
Studies on English Grammar: A Bibliometric Analysis
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Studies on English Grammar: A Bibliometric Analysis

NeuroQuantology, 2022-01, Vol.20 (15), p.4616

Copyright NeuroQuantology 2022 ;EISSN: 1303-5150 ;DOI: 10.14704/NQ.2022.20.15.NQ88465

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10
Moral Framing and Charitable Donation: Integrating Exploratory Social Media Analyses and Confirmatory Experimentation
Moral Framing and Charitable Donation: Integrating Exploratory Social Media Analyses and Confirmatory Experimentation
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Moral Framing and Charitable Donation: Integrating Exploratory Social Media Analyses and Confirmatory Experimentation

Collabra. Psychology, 2018-04, Vol.4 (1) [Peer Reviewed Journal]

Copyright: © 2018 The Author(s). 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: 2474-7394 ;EISSN: 2474-7394 ;DOI: 10.1525/collabra.129

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11
Information extraction from free text for aiding transdiagnostic psychiatry: constructing NLP pipelines tailored to clinicians’ needs
Information extraction from free text for aiding transdiagnostic psychiatry: constructing NLP pipelines tailored to clinicians’ needs
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Information extraction from free text for aiding transdiagnostic psychiatry: constructing NLP pipelines tailored to clinicians’ needs

info:eu-repo/semantics/OpenAccess ;ISSN: 1471-244X ;EISSN: 1471-244X

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12
Naïve Definitions of Action and Inaction: A Study of Free Associations Using Natural Language Processing and Top-Down Coding
Naïve Definitions of Action and Inaction: A Study of Free Associations Using Natural Language Processing and Top-Down Coding
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Naïve Definitions of Action and Inaction: A Study of Free Associations Using Natural Language Processing and Top-Down Coding

Psicothema, 2021-01, Vol.33 (1), p.7-15 [Peer Reviewed Journal]

COPYRIGHT 2021 Colegio Oficial De Psicologos Del Principado De Asturias ;2021. Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the associated terms available at https://www.psicothema.com/PublicationNorms2022.pdf ;ISSN: 0214-9915 ;EISSN: 1886-144X ;DOI: 10.7334/psicothema2020.351 ;PMID: 33453731

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13
Protocol for the development of the Chatbot Assessment Reporting Tool (CHART) for clinical advice
Protocol for the development of the Chatbot Assessment Reporting Tool (CHART) for clinical advice
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Protocol for the development of the Chatbot Assessment Reporting Tool (CHART) for clinical advice

BMJ open, 2024-05, Vol.14 (5), p.e081155-e081155 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. ;2024 Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ 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)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2024 ;ISSN: 2044-6055 ;EISSN: 2044-6055 ;DOI: 10.1136/bmjopen-2023-081155 ;PMID: 38772889

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14
Chinese Clinical Named Entity Recognition with ALBERT and MHA Mechanism
Chinese Clinical Named Entity Recognition with ALBERT and MHA Mechanism
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Chinese Clinical Named Entity Recognition with ALBERT and MHA Mechanism

Evidence-based complementary and alternative medicine, 2022, Vol.2022, p.2056039-9 [Peer Reviewed Journal]

Copyright © 2022 Dongmei Li et al. ;Copyright © 2022 Dongmei 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 ;Copyright © 2022 Dongmei Li et al. 2022 ;ISSN: 1741-427X ;EISSN: 1741-4288 ;DOI: 10.1155/2022/2056039 ;PMID: 35656458

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15
The Effects of Acute Physical Exercise on Memory, Peripheral BDNF, and Cortisol in Young Adults
The Effects of Acute Physical Exercise on Memory, Peripheral BDNF, and Cortisol in Young Adults
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The Effects of Acute Physical Exercise on Memory, Peripheral BDNF, and Cortisol in Young Adults

Neural plasticity, 2016-01, Vol.2016, p.6860573-12 [Peer Reviewed Journal]

Copyright © 2016 Kirsten Hötting et al. ;Copyright © 2016 Kirsten Hötting et al. 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. ;Copyright © 2016 Kirsten Hötting et al. 2016 ;ISSN: 2090-5904 ;EISSN: 1687-5443 ;DOI: 10.1155/2016/6860573 ;PMID: 27437149

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16
Large language model-based information extraction from free-text radiology reports: a scoping review protocol
Large language model-based information extraction from free-text radiology reports: a scoping review protocol
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Large language model-based information extraction from free-text radiology reports: a scoping review protocol

BMJ open, 2023-12, Vol.13 (12), p.e076865-e076865 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. ;2023 Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ 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)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2023 ;ISSN: 2044-6055 ;EISSN: 2044-6055 ;DOI: 10.1136/bmjopen-2023-076865 ;PMID: 38070902

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17
Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system
Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system
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Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system

BMJ open, 2019-04, Vol.9 (4), p.e023232-e023232 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ. ;2019 Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: 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. ;Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ. 2019 ;ISSN: 2044-6055 ;EISSN: 2044-6055 ;DOI: 10.1136/bmjopen-2018-023232 ;PMID: 30940752

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18
Personality Computing With Naturalistic Music Listening Behavior: Comparing Audio and Lyrics Preferences
Personality Computing With Naturalistic Music Listening Behavior: Comparing Audio and Lyrics Preferences
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Personality Computing With Naturalistic Music Listening Behavior: Comparing Audio and Lyrics Preferences

Collabra. Psychology, 2023-06, Vol.9 (1) [Peer Reviewed Journal]

ISSN: 2474-7394 ;EISSN: 2474-7394 ;DOI: 10.1525/collabra.75214

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19
Can natural language processing models extract and classify instances of interpersonal violence in mental healthcare electronic records: an applied evaluative study
Can natural language processing models extract and classify instances of interpersonal violence in mental healthcare electronic records: an applied evaluative study
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Can natural language processing models extract and classify instances of interpersonal violence in mental healthcare electronic records: an applied evaluative study

BMJ open, 2022-02, Vol.12 (2), p.e052911-e052911 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. ;2022 Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: 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. ;Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. 2022 ;ISSN: 2044-6055 ;EISSN: 2044-6055 ;DOI: 10.1136/bmjopen-2021-052911 ;PMID: 35172999

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20
Brain MRI analysis for Alzheimer’s disease diagnosis using an ensemble system of deep convolutional neural networks
Brain MRI analysis for Alzheimer’s disease diagnosis using an ensemble system of deep convolutional neural networks
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Brain MRI analysis for Alzheimer’s disease diagnosis using an ensemble system of deep convolutional neural networks

Brain informatics, 2018-05, Vol.5 (2), p.2-14, Article 2 [Peer Reviewed Journal]

The Author(s) 2018 ;COPYRIGHT 2018 Springer ;Brain Informatics is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 2198-4018 ;EISSN: 2198-4026 ;DOI: 10.1186/s40708-018-0080-3 ;PMID: 29881892

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