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Validation of deep learning natural language processing algorithm for keyword extraction from pathology reports in electronic health records
Validation of deep learning natural language processing algorithm for keyword extraction from pathology reports in electronic health records
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Validation of deep learning natural language processing algorithm for keyword extraction from pathology reports in electronic health records

Scientific reports, 2020-11, Vol.10 (1), p.20265-20265, Article 20265 [Peer Reviewed Journal]

The Author(s) 2020. 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) 2020 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-020-77258-w ;PMID: 33219276

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2
Recent advances and applications of deep learning methods in materials science
Recent advances and applications of deep learning methods in materials science
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Recent advances and applications of deep learning methods in materials science

npj computational materials, 2022-04, Vol.8 (1), p.1-26, Article 59 [Peer Reviewed Journal]

This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 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. ;ISSN: 2057-3960 ;EISSN: 2057-3960 ;DOI: 10.1038/s41524-022-00734-6

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3
Deep neural networks in psychiatry
Deep neural networks in psychiatry
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Deep neural networks in psychiatry

Molecular psychiatry, 2019-11, Vol.24 (11), p.1583-1598 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;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: 1359-4184 ;EISSN: 1476-5578 ;DOI: 10.1038/s41380-019-0365-9 ;PMID: 30770893

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4
Multi-class sentiment analysis of urdu text using multilingual BERT
Multi-class sentiment analysis of urdu text using multilingual BERT
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Multi-class sentiment analysis of urdu text using multilingual BERT

Scientific reports, 2022-03, Vol.12 (1), p.5436-5436, Article 5436 [Peer Reviewed Journal]

2022. The Author(s). ;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: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-09381-9 ;PMID: 35361890

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5
Deciphering microbial gene function using natural language processing
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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6
Deep learning based sentiment analysis and offensive language identification on multilingual code-mixed data
Deep learning based sentiment analysis and offensive language identification on multilingual code-mixed data
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Deep learning based sentiment analysis and offensive language identification on multilingual code-mixed data

Scientific reports, 2022-12, Vol.12 (1), p.21557-21557 [Peer Reviewed Journal]

2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply. ;This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2022 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-26092-3 ;PMID: 36513786

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7
Sequence-to-function deep learning frameworks for engineered riboregulators
Sequence-to-function deep learning frameworks for engineered riboregulators
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Sequence-to-function deep learning frameworks for engineered riboregulators

Nature communications, 2020-10, Vol.11 (1), p.5058-14, Article 5058 [Peer Reviewed Journal]

The Author(s) 2020 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-18676-2 ;PMID: 33028819

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8
A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals
A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals
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A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals

Nature communications, 2022-02, Vol.13 (1), p.862-862, Article 862 [Peer Reviewed Journal]

2022. The Author(s). ;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/s41467-022-28494-3 ;PMID: 35165275

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9
Deep learning for religious and continent-based toxic content detection and classification
Deep learning for religious and continent-based toxic content detection and classification
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Deep learning for religious and continent-based toxic content detection and classification

Scientific reports, 2022-10, Vol.12 (1), p.17478-12, Article 17478 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-22523-3 ;PMID: 36261675

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10
A pre-trained BERT for Korean medical natural language processing
A pre-trained BERT for Korean medical natural language processing
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A pre-trained BERT for Korean medical natural language processing

Scientific reports, 2022-08, Vol.12 (1), p.13847-13847, Article 13847 [Peer Reviewed Journal]

2022. The Author(s). ;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: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-17806-8 ;PMID: 35974113

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11
Natural language processing applied to mental illness detection: a narrative review
Natural language processing applied to mental illness detection: a narrative review
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Natural language processing applied to mental illness detection: a narrative review

NPJ digital medicine, 2022-04, Vol.5 (1), p.46-46, Article 46 [Peer Reviewed Journal]

2022. The Author(s). ;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: 2398-6352 ;EISSN: 2398-6352 ;DOI: 10.1038/s41746-022-00589-7 ;PMID: 35396451

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12
Deep-learning-based stock market prediction incorporating ESG sentiment and technical indicators
Deep-learning-based stock market prediction incorporating ESG sentiment and technical indicators
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Deep-learning-based stock market prediction incorporating ESG sentiment and technical indicators

Scientific reports, 2024-05, Vol.14 (1), p.10262-10262 [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. ;The Author(s) 2024 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-61106-2 ;PMID: 38704434

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13
Scoring method of English composition integrating deep learning in higher vocational colleges
Scoring method of English composition integrating deep learning in higher vocational colleges
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Scoring method of English composition integrating deep learning in higher vocational colleges

Scientific reports, 2024-03, Vol.14 (1), p.7287-7287 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-57419-x ;PMID: 38538676

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14
Drug target prediction through deep learning functional representation of gene signatures
Drug target prediction through deep learning functional representation of gene signatures
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Drug target prediction through deep learning functional representation of gene signatures

Nature communications, 2024-02, Vol.15 (1), p.1853-1853 [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: 2041-1723 ;DOI: 10.1038/s41467-024-46089-y ;PMID: 38424040

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15
Deep learning-based methods for natural hazard named entity recognition
Deep learning-based methods for natural hazard named entity recognition
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Deep learning-based methods for natural hazard named entity recognition

Scientific reports, 2022-03, Vol.12 (1), p.4598-4598, Article 4598 [Peer Reviewed Journal]

2022. The Author(s). ;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: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-08667-2 ;PMID: 35301387

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16
BioBBC: a multi-feature model that enhances the detection of biomedical entities
BioBBC: a multi-feature model that enhances the detection of biomedical entities
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BioBBC: a multi-feature model that enhances the detection of biomedical entities

Scientific reports, 2024-04, Vol.14 (1), p.7697-7697 [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. ;The Author(s) 2024 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-58334-x ;PMID: 38565624

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17
Translating synthetic natural language to database queries with a polyglot deep learning framework
Translating synthetic natural language to database queries with a polyglot deep learning framework
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Translating synthetic natural language to database queries with a polyglot deep learning framework

Scientific reports, 2021-09, Vol.11 (1), p.18462-18462, Article 18462 [Peer Reviewed Journal]

The Author(s) 2021. 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) 2021 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-021-98019-3 ;PMID: 34531510

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18
Information extraction from German radiological reports for general clinical text and language understanding
Information extraction from German radiological reports for general clinical text and language understanding
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Information extraction from German radiological reports for general clinical text and language understanding

Scientific reports, 2023-02, Vol.13 (1), p.2353-2353, Article 2353 [Peer Reviewed Journal]

2023. The Author(s). ;The Author(s) 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. ;The Author(s) 2023 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-023-29323-3 ;PMID: 36759679

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19
Heart disease risk factors detection from electronic health records using advanced NLP and deep learning techniques
Heart disease risk factors detection from electronic health records using advanced NLP and deep learning techniques
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Heart disease risk factors detection from electronic health records using advanced NLP and deep learning techniques

Scientific reports, 2023-05, Vol.13 (1), p.7173-7173, Article 7173 [Peer Reviewed Journal]

2023. The Author(s). ;The Author(s) 2023 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-023-34294-6 ;PMID: 37138014

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20
Explaining neural activity in human listeners with deep learning via natural language processing of narrative text
Explaining neural activity in human listeners with deep learning via natural language processing of narrative text
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Explaining neural activity in human listeners with deep learning via natural language processing of narrative text

Scientific reports, 2022-10, Vol.12 (1), p.17838-17838, Article 17838 [Peer Reviewed Journal]

2022. The Author(s). ;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: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-21782-4 ;PMID: 36284195

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