Zobrazeno 1 - 3 of 3 pro vyhledávání: '"Lea Lösch"'
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Akademický článek
Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing: Proof-of-Concept Study
Autor: Lea Lösch, Teun Zuiderent-Jerak, Florian Kunneman, Elena Syurina, Marloes Bongers, Mart L Stein, Michelle Chan, Willemine Willems, Aura Timen
Publikováno v: Journal of Medical Internet Research, Vol 25, p e44461 (2023)
BackgroundExperience-based knowledge and value considerations of health professionals, citizens, and patients are essential to formulate public health and clinical guidelines that are relevant and applicable to medical practice. Conventional methods
Externí odkaz: https://doaj.org/article/6b3b8fa8b5454b08a293d1d0b3cbe223
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2
Using structural topic modelling to reveal patterns in reports on opioid drugs in a pharmacovigilance database
Autor: Lea Lösch, Patrick Brown, Florence van Hunsel
Publikováno v: Lösch, L, Brown, P & van Hunsel, F 2022, ' Using structural topic modelling to reveal patterns in reports on opioid drugs in a pharmacovigilance database ', Pharmacoepidemiology and Drug Safety, vol. 31, no. 9, pp. 1003-1006 . https://doi.org/10.1002/pds.5502
Pharmacoepidemiology and Drug Safety, 31(9), 1003-1006. John Wiley and Sons Ltd
Background: Adverse drug reaction (ADR) reports in pharmacovigilance databases often contain coded information and large amounts of unstructured or semi-structured information in plain text format. The unstructured format and sheer volume of these da
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9f8f8675c7eb72260e4f5433da34df7
https://research.vu.nl/ws/files/213955274/Using_structural_topic_modelling_to_reveal_patterns_in_reports_on_opioid_drugs_in_a_pharmacovigilance_database.pdf
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Plný text Recenzováno Digitální knihovna AV ČR
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