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1
Vision Transformers for Remote Sensing Image Classification
Vision Transformers for Remote Sensing Image Classification
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Vision Transformers for Remote Sensing Image Classification

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (3), p.516 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13030516

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2
Prediction of psychosis across protocols and risk cohorts using automated language analysis
Prediction of psychosis across protocols and risk cohorts using automated language analysis
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Prediction of psychosis across protocols and risk cohorts using automated language analysis

World psychiatry, 2018-02, Vol.17 (1), p.67-75 [Peer Reviewed Journal]

2018 World Psychiatric Association ;2018 World Psychiatric Association. ;ISSN: 1723-8617 ;EISSN: 2051-5545 ;DOI: 10.1002/wps.20491 ;PMID: 29352548

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3
Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach
Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach
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Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

IEEE journal of biomedical and health informatics, 2020-10, Vol.24 (10), p.2733 [Peer Reviewed Journal]

EISSN: 2168-2208 ;DOI: 10.1109/JBHI.2020.3001216 ;PMID: 32750931

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4
A comparison of word embeddings for the biomedical natural language processing
A comparison of word embeddings for the biomedical natural language processing
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A comparison of word embeddings for the biomedical natural language processing

Journal of biomedical informatics, 2018-11, Vol.87, p.12 [Peer Reviewed Journal]

Copyright © 2018 Elsevier Inc. All rights reserved. ;EISSN: 1532-0480 ;DOI: 10.1016/j.jbi.2018.09.008 ;PMID: 30217670

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5
Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features
Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features
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Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features

Journal of the American Medical Informatics Association : JAMIA, 2015-05, Vol.22 (3), p.671-681 [Peer Reviewed Journal]

The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. 2015 ;The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocu041 ;PMID: 25755127

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6
Estimating redundancy in clinical text
Estimating redundancy in clinical text
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Estimating redundancy in clinical text

Journal of biomedical informatics, 2021-12, Vol.124, p.103938 [Peer Reviewed Journal]

Copyright © 2021. Published by Elsevier Inc. ;EISSN: 1532-0480 ;DOI: 10.1016/j.jbi.2021.103938 ;PMID: 34695581

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7
Detecting negation and scope in Chinese clinical notes using character and word embedding
Detecting negation and scope in Chinese clinical notes using character and word embedding
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Detecting negation and scope in Chinese clinical notes using character and word embedding

Computer methods and programs in biomedicine, 2017-03, Vol.140, p.53 [Peer Reviewed Journal]

Copyright © 2016 Elsevier Ireland Ltd. All rights reserved. ;EISSN: 1872-7565 ;DOI: 10.1016/j.cmpb.2016.11.009 ;PMID: 28254090

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8
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
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An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition

BMC bioinformatics, 2015-04, Vol.16 (1), p.138-138, Article 138 [Peer Reviewed Journal]

COPYRIGHT 2015 BioMed Central Ltd. ;Attribution ;Tsatsaronis et al.; licensee BioMed Central. 2015 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-015-0564-6 ;PMID: 25925131

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9
DKADE: a novel framework based on deep learning and knowledge graph for identifying adverse drug events and related medications
DKADE: a novel framework based on deep learning and knowledge graph for identifying adverse drug events and related medications
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DKADE: a novel framework based on deep learning and knowledge graph for identifying adverse drug events and related medications

Briefings in bioinformatics, 2023-07, Vol.24 (4) [Peer Reviewed Journal]

The Author(s) 2023. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2023 ;The Author(s) 2023. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author(s) 2023. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbad228 ;PMID: 37344167

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10
CODER: Knowledge-infused cross-lingual medical term embedding for term normalization
CODER: Knowledge-infused cross-lingual medical term embedding for term normalization
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CODER: Knowledge-infused cross-lingual medical term embedding for term normalization

Journal of biomedical informatics, 2022-02, Vol.126, p.103983 [Peer Reviewed Journal]

Copyright © 2022 Elsevier Inc. All rights reserved. ;EISSN: 1532-0480 ;DOI: 10.1016/j.jbi.2021.103983 ;PMID: 34990838

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11
NCBI disease corpus: a resource for disease name recognition and concept normalization
NCBI disease corpus: a resource for disease name recognition and concept normalization
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NCBI disease corpus: a resource for disease name recognition and concept normalization

Journal of biomedical informatics, 2014-02, Vol.47, p.1 [Peer Reviewed Journal]

Published by Elsevier Inc. ;EISSN: 1532-0480 ;DOI: 10.1016/j.jbi.2013.12.006 ;PMID: 24393765

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12
MHCRoBERTa: pan-specific peptide–MHC class I binding prediction through transfer learning with label-agnostic protein sequences
MHCRoBERTa: pan-specific peptide–MHC class I binding prediction through transfer learning with label-agnostic protein sequences
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MHCRoBERTa: pan-specific peptide–MHC class I binding prediction through transfer learning with label-agnostic protein sequences

Briefings in bioinformatics, 2022-05, Vol.23 (3) [Peer Reviewed Journal]

The Author(s) 2022. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2022 ;The Author(s) 2022. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author(s) 2022. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbab595 ;PMID: 35443027

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13
Domain adaptation for semantic role labeling of clinical text
Domain adaptation for semantic role labeling of clinical text
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Domain adaptation for semantic role labeling of clinical text

Journal of the American Medical Informatics Association : JAMIA, 2015-09, Vol.22 (5), p.967-979 [Peer Reviewed Journal]

The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2015 ;The Author 2015. 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/ocu048 ;PMID: 26063745

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14
Clinical concept normalization with a hybrid natural language processing system combining multilevel matching and machine learning ranking
Clinical concept normalization with a hybrid natural language processing system combining multilevel matching and machine learning ranking
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Clinical concept normalization with a hybrid natural language processing system combining multilevel matching and machine learning ranking

Journal of the American Medical Informatics Association : JAMIA, 2020-10, Vol.27 (10), p.1576-1584 [Peer Reviewed Journal]

The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com 2020 ;The Author(s) 2020. 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/ocaa155 ;PMID: 33029642

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15
Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances
Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances
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Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances

Journal of biomedical informatics, 2018-12, Vol.88, p.11 [Peer Reviewed Journal]

Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved. ;EISSN: 1532-0480 ;DOI: 10.1016/j.jbi.2018.10.005 ;PMID: 30368002

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16
iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations
iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations
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iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations

Genome Biology, 2022-10, Vol.23 (1), p.1-219, Article 219 [Peer Reviewed Journal]

2022. 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) 2022 ;ISSN: 1474-760X ;ISSN: 1474-7596 ;EISSN: 1474-760X ;DOI: 10.1186/s13059-022-02780-1

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17
Machine Learning and Natural Language Processing in Mental Health: Systematic Review
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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18
Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study
Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study
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Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study

Journal of medical Internet research, 2020-10, Vol.22 (10), p.e22635-e22635 [Peer Reviewed Journal]

Daniel M Low, Laurie Rumker, Tanya Talkar, John Torous, Guillermo Cecchi, Satrajit S Ghosh. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 12.10.2020. ;Copyright Gunther Eysenbach MD MPH, Associate Professor Oct 2020 ;Daniel M Low, Laurie Rumker, Tanya Talkar, John Torous, Guillermo Cecchi, Satrajit S Ghosh. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 12.10.2020. 2020 ;ISSN: 1438-8871 ;ISSN: 1439-4456 ;EISSN: 1438-8871 ;DOI: 10.2196/22635 ;PMID: 32936777

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19
BIOSSES: a semantic sentence similarity estimation system for the biomedical domain
BIOSSES: a semantic sentence similarity estimation system for the biomedical domain
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BIOSSES: a semantic sentence similarity estimation system for the biomedical domain

Bioinformatics (Oxford, England), 2017-07, Vol.33 (14), p.i49-i58 [Peer Reviewed Journal]

The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com ;The Author 2017. Published by Oxford University Press. 2017 ;ISSN: 1367-4803 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btx238 ;PMID: 28881973

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20
A neural network multi-task learning approach to biomedical named entity recognition
A neural network multi-task learning approach to biomedical named entity recognition
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A neural network multi-task learning approach to biomedical named entity recognition

BMC bioinformatics, 2017-08, Vol.18 (1), p.368-368, Article 368 [Peer Reviewed Journal]

COPYRIGHT 2017 BioMed Central Ltd. ;Copyright BioMed Central 2017 ;The Author(s) 2017 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-017-1776-8 ;PMID: 28810903

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