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...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Book Section |
| Language: | English |
| Published: |
Springer
2016
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/11575/ http://umpir.ump.edu.my/id/eprint/11575/ http://umpir.ump.edu.my/id/eprint/11575/ http://umpir.ump.edu.my/id/eprint/11575/1/Prediction%20of%20Sepsis%20Progression%20in%20Critical%20Illness%20Using%20Artificial%20Neural%20Network.pdf |