Preliminary development of a prediction model for daily stroke occurrences based on meteorological and calendar information using deep learning framework (Prediction One; Sony Network Communications Inc., Japan)

BACKGROUND: Chronologically meteorological and calendar factors were risks of stroke occurrence. However, the prediction of stroke occurrences is difficult depending on only meteorological and calendar factors. We tried to make prediction models for stroke occurrences using deep learning (DL) softwa...

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Detalles Bibliográficos
Autores principales: Katsuki, Masahito, Narita, Norio, Ishida, Naoya, Watanabe, Ohmi, Cai, Siqi, Ozaki, Dan, Sato, Yoshimichi, Kato, Yuya, Jia, Wenting, Nishizawa, Taketo, Kochi, Ryuzaburo, Sato, Kanako, Tominaga, Teiji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Scientific Scholar 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881509/
https://www.ncbi.nlm.nih.gov/pubmed/33598347
http://dx.doi.org/10.25259/SNI_774_2020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881509/
https://www.ncbi.nlm.nih.gov/pubmed/33598347
http://dx.doi.org/10.25259/SNI_774_2020

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