Word2vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke: A Feasibility Study

Background: The possible benefits of using semantic language models in the early diagnosis of major ischemic stroke (MIS) based on artificial intelligence (AI) are still underestimated. The present study strives to assay the feasibility of the word2vec word embedding-based model in decreasing the ri...

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Detalles Bibliográficos
Autores principales: Desai, Antonio, Zumbo, Aurora, Giordano, Mauro, Morandini, Pierandrea, Laino, Maria Elena, Azzolini, Elena, Fabbri, Andrea, Marcheselli, Simona, Giotta Lucifero, Alice, Luzzi, Sabino, Voza, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691077/
https://www.ncbi.nlm.nih.gov/pubmed/36430014
http://dx.doi.org/10.3390/ijerph192215295

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691077/
https://www.ncbi.nlm.nih.gov/pubmed/36430014
http://dx.doi.org/10.3390/ijerph192215295

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