Easily created prediction model using deep learning software (Prediction One, Sony Network Communications Inc.) for subarachnoid hemorrhage outcomes from small dataset at admission

BACKGROUND: Reliable prediction models of subarachnoid hemorrhage (SAH) outcomes are needed for decision-making of the treatment. SAFIRE score using only four variables is a good prediction scoring system. However, making such prediction models needs a large number of samples and time-consuming stat...

Descripción completa

Detalles Bibliográficos
Autores principales: Katsuki, Masahito, Kakizawa, Yukinari, Nishikawa, Akihiro, Yamamoto, Yasunaga, Uchiyama, Toshiya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Scientific Scholar 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771510/
https://www.ncbi.nlm.nih.gov/pubmed/33408908
http://dx.doi.org/10.25259/SNI_636_2020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771510/
https://www.ncbi.nlm.nih.gov/pubmed/33408908
http://dx.doi.org/10.25259/SNI_636_2020

Ejemplares similares