Prediction of sepsis progression in critical illness using artificial neural network

Prediction of sepsis progression in critical illness using artificial neural network

Biomarkers; Biomedical engineering; Decision making; Intensive care units; Neural networks; Antimicrobial therapy; Clinical guideline; Patient condition; Provide guidances; Sensitivity and specificity; Sepsis; Sepsis score; Septic shocks; Patient treatment

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Bibliographic Details
Main Authors: Suhaimi F.M., Chase J.G., Shaw G.M., Jamaludin U.K., Razak N.N.
Other Authors: 36247893200
Format: Conference Paper
Published: Springer Verlag 2023
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Institution: Universiti Tenaga Nasional
Description
Summary:Biomarkers; Biomedical engineering; Decision making; Intensive care units; Neural networks; Antimicrobial therapy; Clinical guideline; Patient condition; Provide guidances; Sensitivity and specificity; Sepsis; Sepsis score; Septic shocks; Patient treatment

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