Desai, A.; Zumbo, A.; Giordano, M.; Morandini, P.; Laino, M.E.; Azzolini, E.; Fabbri, A.; Marcheselli, S.; Giotta Lucifero, A.; Luzzi, S.;
et al. Word2vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke: A Feasibility Study. Int. J. Environ. Res. Public Health 2022, 19, 15295.
https://doi.org/10.3390/ijerph192215295
AMA Style
Desai A, Zumbo A, Giordano M, Morandini P, Laino ME, Azzolini E, Fabbri A, Marcheselli S, Giotta Lucifero A, Luzzi S,
et al. Word2vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke: A Feasibility Study. International Journal of Environmental Research and Public Health. 2022; 19(22):15295.
https://doi.org/10.3390/ijerph192215295
Chicago/Turabian Style
Desai, Antonio, Aurora Zumbo, Mauro Giordano, Pierandrea Morandini, Maria Elena Laino, Elena Azzolini, Andrea Fabbri, Simona Marcheselli, Alice Giotta Lucifero, Sabino Luzzi,
and et al. 2022. "Word2vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke: A Feasibility Study" International Journal of Environmental Research and Public Health 19, no. 22: 15295.
https://doi.org/10.3390/ijerph192215295
APA Style
Desai, A., Zumbo, A., Giordano, M., Morandini, P., Laino, M. E., Azzolini, E., Fabbri, A., Marcheselli, S., Giotta Lucifero, A., Luzzi, S., & Voza, A.
(2022). Word2vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke: A Feasibility Study. International Journal of Environmental Research and Public Health, 19(22), 15295.
https://doi.org/10.3390/ijerph192215295
