The new SUMPOT to predict postoperative complications using an Artificial Neural Network

The new SUMPOT to predict postoperative complications using an Artificial Neural Network

Abstract An accurate assessment of preoperative risk may improve use of hospital resources and reduce morbidity and mortality in high-risk surgical patients. This study aims at implementing an automated surgical risk calculator based on Artificial Neural Network technology to identify patients at ri...

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Autores principales: Cosimo Chelazzi, Gianluca Villa, Andrea Manno, Viola Ranfagni, Eleonora Gemmi, Stefano Romagnoli
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/bccb74f3749a456b9508bcb8ebff282a
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