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
Saved in:
Main Authors: | , , , , |
---|---|
Other Authors: | |
Format: | Conference Paper |
Published: |
Springer Verlag
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|