Evidence-based clinical engineering: Health information technology adverse events identification and classification with natural language processing

The primary goal of this project is to create a framework to extract Real-World Evidence to support Health Technology Assessment, Health Technology Management, Evidence-Based Maintenance, and Post Market Surveillance (as outlined in the EU Medical Device Regulation 2017/745) of medical devices using...

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Detalles Bibliográficos
Autores principales: Luschi, Alessio, Nesi, Paolo, Iadanza, Ernesto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638042/
https://www.ncbi.nlm.nih.gov/pubmed/37954315
http://dx.doi.org/10.1016/j.heliyon.2023.e21723

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638042/
https://www.ncbi.nlm.nih.gov/pubmed/37954315
http://dx.doi.org/10.1016/j.heliyon.2023.e21723

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