AIMC Topic: Candidemia
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Development and validation of a modified SOFA score for mortality prediction in candidemia patients.
Scientific reports
Jul 1, 2025
Candidemia is a life-threatening bloodstream infection associated with high mortality rates, particularly in critically ill patients. Accurate risk stratification is crucial for timely intervention and could improve patient outcomes. This study aimed...
A machine learning model for early candidemia prediction in the intensive care unit: Clinical application.
PloS one
Sep 9, 2024
Candidemia often poses a diagnostic challenge due to the lack of specific clinical features, and delayed antifungal therapy can significantly increase mortality rates, particularly in the intensive care unit (ICU). This study aims to develop a machin...
A privacy-preserving platform oriented medical healthcare and its application in identifying patients with candidemia.
Scientific reports
Jul 6, 2024
Federated learning (FL) has emerged as a significant method for developing machine learning models across multiple devices without centralized data collection. Candidemia, a critical but rare disease in ICUs, poses challenges in early detection and t...
Towards the automatic calculation of the EQUAL Candida Score: Extraction of CVC-related information from EMRs of critically ill patients with candidemia in Intensive Care Units.
Journal of biomedical informatics
Jun 5, 2024
OBJECTIVES: Candidemia is the most frequent invasive fungal disease and the fourth most frequent bloodstream infection in hospitalized patients. Its optimal management is crucial for improving patients' survival. The quality of candidemia management ...
Prediction of candidemia with machine learning techniques: state of the art.
Future microbiology
May 20, 2024
In this narrative review, we discuss studies assessing the use of machine learning (ML) models for the early diagnosis of candidemia, focusing on employed models and the related implications. There are currently few studies evaluating ML techniques f...
Personalized machine learning approach to predict candidemia in medical wards.
Infection
Aug 1, 2020
PURPOSE: Candidemia is a highly lethal infection; several scores have been developed to assist the diagnosis process and recently different models have been proposed. Aim of this work was to assess predictive performance of a Random Forest (RF) algor...
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