Prediction of sepsis progression in critical illness using artificial neural network

• 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
• Institution: Universiti Tenaga Nasional

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