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1
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 [Tạp chí có phản biện]

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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2
Automatic inference of ICD-10 codes from German ophthalmologic physicians' letters using natural language processing
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 [Tạp chí có phản biện]

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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3
Enhancing diagnosis of benign lesions and lung cancer through ensemble text and breath analysis: a retrospective cohort study
Enhancing diagnosis of benign lesions and lung cancer through ensemble text and breath analysis: a retrospective cohort study
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Enhancing diagnosis of benign lesions and lung cancer through ensemble text and breath analysis: a retrospective cohort study

Scientific reports, 2024-04, Vol.14 (1), p.8731-8731 [Tạp chí có phản biện]

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/s41598-024-59474-w ;PMID: 38627587

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4
Evaluating the strengths and weaknesses of large language models in answering neurophysiology questions
Evaluating the strengths and weaknesses of large language models in answering neurophysiology questions
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Evaluating the strengths and weaknesses of large language models in answering neurophysiology questions

Scientific reports, 2024-05, Vol.14 (1), p.10785-10785 [Tạp chí có phản biện]

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/s41598-024-60405-y ;PMID: 38734712

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