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Academic Journal

Predicting the Utility of Scientific Articles for Emerging Pandemics Using Their Titles and Natural Language Processing.

  • Authors : Dobolyi K; Department of Computer Science, George Washington University, Washington, DC, USA.; Hussain S

Subjects: Natural Language Processing* ; COVID-19*/COVID-19*/COVID-19*/epidemiology ; Pandemics*

  • Source: Disaster medicine and public health preparedness [Disaster Med Public Health Prep] 2024 May 10; Vol. 18, pp. e103. Date of Electronic Publication: 2024 May 10.Publisher: Cambridge University Press Country of Publication: United States NLM ID: 101297401 Publication Model: Electronic

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Academic Journal

Application of natural language processing to predict final recommendation of Brazilian health technology assessment reports.

  • Authors : Cardoso MMA; Health Technology Assessment Unit, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil.; Laboratory of Data Science and Predictive Analysis in Health, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil.

Subjects: Natural Language Processing* ; Technology Assessment, Biomedical*; Brazil

  • Source: International journal of technology assessment in health care [Int J Technol Assess Health Care] 2024 Apr 12; Vol. 40 (1), pp. e19. Date of Electronic Publication: 2024 Apr 12.Publisher: Cambridge University Press Country of Publication: England NLM ID: 8508113 Publication Model: Electronic Cited

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Academic Journal

ChatGPT: Increasing accessibility for natural language processing in healthcare quality measurement.

  • Authors : Wu JT; Department of Medicine, Palo Alto VA Healthcare System, Palo Alto, California.; Stanford University School of Medicine, Palo Alto, California.

Subjects: Natural Language Processing* ; Quality Assurance, Health Care*; Artificial Intelligence

  • Source: Infection control and hospital epidemiology [Infect Control Hosp Epidemiol] 2024 Jan; Vol. 45 (1), pp. 9-10. Date of Electronic Publication: 2023 Nov 10.Publisher: Cambridge University Press Country of Publication: United States NLM ID: 8804099 Publication Model: Print-Electronic

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Academic Journal

Detection of suicidality from medical text using privacy-preserving large language models.

  • Authors : Wiest IC; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany; and Department of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Subjects: Electronic Health Records* ; Natural Language Processing* ; Suicide*/Suicide*/Suicide*/psychology

  • Source: The British journal of psychiatry : the journal of mental science [Br J Psychiatry] 2024 Dec; Vol. 225 (6), pp. 532-537.Publisher: Cambridge University Press Country of Publication: England NLM ID: 0342367 Publication Model: Print Cited Medium:

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Academic Journal

Natural language processing of medical records: new understanding of suicide ideation by dementia subtypes.

  • Authors : Badal VD; Department of Psychiatry, University of California San Diego, San Diego, CA, USA.; Sam and Rose Stein Institute for Research on Aging, University of California San Diego, San Diego, CA, USA.

Subjects: Dementia* ; Natural Language Processing*; Humans

  • Source: International psychogeriatrics [Int Psychogeriatr] 2022 Apr; Vol. 34 (4), pp. 319-321.Publisher: Cambridge University Press Country of Publication: England NLM ID: 9007918 Publication Model: Print Cited Medium:

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Academic Journal

Natural language processing of clinical mental health notes may add predictive value to existing suicide risk models.

  • Authors : Levis M; White River Junction VA Medical Center, White River Junction, VT, USA.; Geisel School of Medicine at Dartmouth, Hanover, NH, USA.

Subjects: Natural Language Processing* ; Suicide Prevention*; Humans

  • Source: Psychological medicine [Psychol Med] 2021 Jun; Vol. 51 (8), pp. 1382-1391. Date of Electronic Publication: 2020 Feb 17.Publisher: Cambridge University Press Country of Publication: England NLM ID: 1254142 Publication Model: Print-Electronic

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Academic Journal

Mixed deep learning and natural language processing method for fake-food image recognition and standardization to help automated dietary assessment.

  • Authors : Mezgec S; 1Jožef Stefan International Postgraduate School,Ljubljana,Slovenia.; Eftimov T

Subjects: Deep Learning* ; Diet Records* ; Image Processing, Computer-Assisted*

  • Source: Public health nutrition [Public Health Nutr] 2019 May; Vol. 22 (7), pp. 1193-1202. Date of Electronic Publication: 2018 Apr 06.Publisher: Cambridge University Press Country of Publication: England NLM ID: 9808463 Publication Model: Print-Electronic

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Review

Explainable Natural Language Processing.

Subjects: NATURAL language processing

  • Source: Natural Language Engineering. Jul2024, Vol. 30 Issue 4, p882-885. 4p.

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  • 1-10 of  3,316 results for ""Natural Language Processing""