Artificial Intelligence-Based Prediction of Bloodstream Infections Using Standard Hematological and Biochemical Markers
Objective: Bloodstream infections (BSIs) require rapid identification to initiate timely antimicrobial therapy, yet blood culture-the current diagnostic gold standard-suffers from delayed results and limited sensitivity. This study aimed to develop an interpretable machine learning (ML) model using...
Saved in:
| Main Authors: | Ferhat DEMİRCİ, Murat AKŞİT, Aylin DEMİRCİ |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Galenos Yayinevi
2025-08-01
|
| Series: | Forbes Tıp Dergisi |
| Subjects: | |
| Online Access: | https://forbestip.org/articles/artificial-intelligence-based-prediction-of-bloodstream-infections-using-standard-hematological-and-biochemical-markers/doi/forbes.galenos.2025.57855 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluation of Neutrophil cluster of differentiation 64 in adult sepsis as a novel diagnostic biomarker
by: Anuradha Saini, et al.
Published: (2025-05-01) -
Validity of procalcitonin and C-reactive protein as biomarkers in diagnosis of neonatal sepsis in a referral hospital, Kenya
by: Florence Chepyegon Tum, et al.
Published: (2025-12-01) -
Combination of nucleated red blood cells and inflammatory biomarkers (PCT and CRP) for predicting sepsis and septic shock in children
by: Kaibin Pu, et al.
Published: (2025-08-01) -
Prediction of mortality in sepsis with biomarkers and qSOFA score combination: An observational study in a tertiary care centre of western India
by: Puneet Rijhwani, et al.
Published: (2023-10-01) -
Procalcitonin and C-reactive protein as early diagnostic markers of sepsis or septic shock in children who presented with fever to the pediatric emergency department at a tertiary hospital, in Riyadh, Saudi Arabia
by: Altaf Bhat, et al.
Published: (2025-04-01)