Prediction of Sepsis Progression in Critical Illness Using Artificial Neural Network

Prediction of Sepsis Progression in Critical Illness Using Artificial Neural Network

Early treatment of sepsis can reduce mortality and improve a patient condition. However, the lack of clear information and accurate methods of diagnosing sepsis at an early stage makes it become a significant challenge. The decision to start, continue or stop antimicrobial therapy is normally base o...

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Bibliographic Details
Main Authors: F. M., Suhaimi, J. G., Chase, G. M., Shaw, Ummu Kulthum, Jamaludin, Normy Norfiza, A. Razak
Other Authors: Fatimah, Ibrahim
Format: Book Chapter
Language:English
Published: Springer 2016
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/11575/1/Prediction%20of%20Sepsis%20Progression%20in%20Critical%20Illness%20Using%20Artificial%20Neural%20Network.pdf

Internet

http://umpir.ump.edu.my/id/eprint/11575/1/Prediction%20of%20Sepsis%20Progression%20in%20Critical%20Illness%20Using%20Artificial%20Neural%20Network.pdf

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