Kinematics approach with neural networks for early detection of sepsis (KANNEDS)

Kinematics approach with neural networks for early detection of sepsis (KANNEDS)

Abstract Background Sepsis is a severe illness that affects millions of people worldwide, and its early detection is critical for effective treatment outcomes. In recent years, researchers have used models to classify positive patients or identify the probability for sepsis using vital signs and oth...

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Bibliographic Details
Main Authors: Márcio Freire Cruz, Naoaki Ono, Ming Huang, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Carlos Arthur Mattos Teixeira Cavalcante
Format: Article
Language:English
Published: BMC 2021-05-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Kinematics
Neural network
Sepsis
Early detection
Vital sign
Machine learning
Online Access:https://doi.org/10.1186/s12911-021-01529-3

Internet

https://doi.org/10.1186/s12911-021-01529-3

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