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Academic Journal

Identification of patients' smoking status using an explainable AI approach: a Danish electronic health records case study.

Authors : Ebrahimi A; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, 5230, Denmark. .; Henriksen MBH

Subjects: Electronic Health Records*/Electronic Health Records*/Electronic Health Records*/statistics & numerical data ; Natural Language Processing* ; Smoking*/Smoking*/Smoking*/epidemiology

Source: BMC medical research methodology [BMC Med Res Methodol] 2024 May 17; Vol. 24 (1), pp. 114. Date of Electronic Publication: 2024 May 17.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288

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Academic Journal

Natural language processing augments comorbidity documentation in neurosurgical inpatient admissions.

Authors : Sastry RA; Department of Neurosurgery, Warren Alpert Medical School, Rhode Island Hospital, Brown University, Providence, RI, United States of America.; Setty A

Subjects: Natural Language Processing* ; Comorbidity*; Humans

Source: PloS one [PLoS One] 2024 May 09; Vol. 19 (5), pp. e0303519. Date of Electronic Publication: 2024 May 09 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Machine learning-based guilt detection in text.

Authors : Meque AGM; Instituto Politécnico Nacional (IPN), Centro de Investigación en Computación (CIC), Mexico City, Mexico.; Faculdade de Economia e Gestao, Catholic University of Mozambique, Beira, 2100, Mozambique.

Subjects: Machine Learning* ; Natural Language Processing*

Source: Scientific reports [Sci Rep] 2023 Jul 15; Vol. 13 (1), pp. 11441. Date of Electronic Publication: 2023 Jul 15.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Word differences in news media of lower and higher peace countries revealed by natural language processing and machine learning.

Authors : Liebovitch LS; Department of Physics, Queens College, City University of New York, New York, New York, United States of America.; Advanced Consortium on Cooperation, Conflict, and Complexity, Columbia University, New York, New York, United States of America.

Subjects: Natural Language Processing* ; Language*; Linguistics

Source: PloS one [PLoS One] 2023 Nov 01; Vol. 18 (11), pp. e0292604. Date of Electronic Publication: 2023 Nov 01 (Print Publication: 2023).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Triaging Medical Referrals Based on Clinical Prioritisation Criteria Using Machine Learning Techniques.

Authors : Wee CK; School of Business, University of Southern Queensland, Toowoomba, QLD 4350, Australia.; Digital Application Services, eHealth, Brisbane, QLD 4000, Australia.

Subjects: Machine Learning* ; Natural Language Processing*; Australia

Source: International journal of environmental research and public health [Int J Environ Res Public Health] 2022 Jun 16; Vol. 19 (12). Date of Electronic Publication: 2022 Jun 16.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601

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Academic Journal

Identifying neurocognitive disorder using vector representation of free conversation.

Authors : Horigome T; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.; Hino K

Subjects: Machine Learning* ; Natural Language Processing*; Algorithms

Source: Scientific reports [Sci Rep] 2022 Aug 03; Vol. 12 (1), pp. 12461. Date of Electronic Publication: 2022 Aug 03.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Ontology-driven and weakly supervised rare disease identification from clinical notes.

Authors : Dong H; Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom. .; Health Data Research UK, London, United Kingdom. .

Subjects: Rare Diseases*/Rare Diseases*/Rare Diseases*/diagnosis ; Natural Language Processing*; Humans

Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2023 May 05; Vol. 23 (1), pp. 86. Date of Electronic Publication: 2023 May 05.Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947

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Academic Journal

Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models.

Authors : Meystre SM; OnePlanet Research Center and imec, Toernooiveld 300, Nijmegen, 6525 EC, The Netherlands. .; Heider PM

Subjects: Artificial Intelligence* ; Natural Language Processing*; Humans

Source: BMC medical research methodology [BMC Med Res Methodol] 2023 Apr 11; Vol. 23 (1), pp. 88. Date of Electronic Publication: 2023 Apr 11.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288

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Academic Journal

Automated prioritization of sick newborns for whole genome sequencing using clinical natural language processing and machine learning.

Authors : Peterson B; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.; Hernandez EJ

Subjects: Natural Language Processing* ; Intensive Care Units, Neonatal*; Humans

Source: Genome medicine [Genome Med] 2023 Mar 16; Vol. 15 (1), pp. 18. Date of Electronic Publication: 2023 Mar 16.Publisher: BioMed Central Country of Publication: England NLM ID: 101475844 Publication Model: Electronic Cited Medium: Internet ISSN: 1756-994X

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Academic Journal

Neural correlates of word representation vectors in natural language processing models: Evidence from representational similarity analysis of event-related brain potentials.

Authors : He T; Center for Neuroscience, University of California, Davis, California, USA.; Department of Linguistics, University of California, Davis, California, USA.

Subjects: Machine Learning* ; Natural Language Processing* ; Semantics*

Source: Psychophysiology [Psychophysiology] 2022 Mar; Vol. 59 (3), pp. e13976. Date of Electronic Publication: 2021 Nov 24.Publisher: Blackwell Country of Publication: United States NLM ID: 0142657 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Identification of patients' smoking status using an explainable AI approach: a Danish electronic health records case study.

Natural language processing augments comorbidity documentation in neurosurgical inpatient admissions.

Machine learning-based guilt detection in text.

Word differences in news media of lower and higher peace countries revealed by natural language processing and machine learning.

Triaging Medical Referrals Based on Clinical Prioritisation Criteria Using Machine Learning Techniques.

Identifying neurocognitive disorder using vector representation of free conversation.

Ontology-driven and weakly supervised rare disease identification from clinical notes.

Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models.

Automated prioritization of sick newborns for whole genome sequencing using clinical natural language processing and machine learning.

Neural correlates of word representation vectors in natural language processing models: Evidence from representational similarity analysis of event-related brain potentials.