Identifying predictors associated with risk of death or admission to intensive care unit in internal medicine patients with sepsis: A comparison of statistical models and …
A Mirijello, A Fontana, AP Greco, A Tosoni, A D'Agruma… - Antibiotics, 2023 - mdpi.com
Background: Sepsis is a time-dependent disease: the early recognition of patients at risk for
poor outcome is mandatory. Aim: To identify prognostic predictors of the risk of death or …
poor outcome is mandatory. Aim: To identify prognostic predictors of the risk of death or …
Remote photoplethysmography‐based human vital sign prediction using cyclical algorithm
This article aims to predict vital signs like heart rate (HR), respiration rate, and arterial
oxygen saturation using ambient light video, eliminating chronic distortions through …
oxygen saturation using ambient light video, eliminating chronic distortions through …
Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3
Background Sepsis poses a critical threat to hospitalized patients, particularly those in the
Intensive Care Unit (ICU). Rapid identification of Sepsis is crucial for improving survival …
Intensive Care Unit (ICU). Rapid identification of Sepsis is crucial for improving survival …
Predictive models for short-term mortality and length of hospital stay among adults with community-onset bacteraemia before and during the COVID-19 pandemic …
CC Lee, YP Hung, CC Hsieh, CY Ho, CY Hsu… - BMC infectious …, 2023 - Springer
Background The development of scoring systems to predict the short-term mortality and the
length of hospital stay (LOS) in patients with bacteraemia is essential to improve the quality …
length of hospital stay (LOS) in patients with bacteraemia is essential to improve the quality …
Predictors of intradialytic hypotension in critically ill patients undergoing kidney replacement therapy: a systematic review
Background This systematic review aims to identify predictors of intradialytic hypotension
(IDH) in critically ill patients undergoing kidney replacement therapy (KRT) for acute kidney …
(IDH) in critically ill patients undergoing kidney replacement therapy (KRT) for acute kidney …
TCKAN: a novel integrated network model for predicting mortality risk in sepsis patients
F Dong, S Li, W Li - Medical & Biological Engineering & Computing, 2024 - Springer
Sepsis poses a major global health threat, accounting for millions of deaths annually and
significant economic costs. Accurately predicting the risk of mortality in sepsis patients …
significant economic costs. Accurately predicting the risk of mortality in sepsis patients …
Explainable Deep Learning Model for Predicting Serious Adverse Events in Hospitalized Geriatric Patients Within 72 Hours
Background The global aging population presents a significant challenge, with older adults
experiencing declining physical and cognitive abilities and increased vulnerability to chronic …
experiencing declining physical and cognitive abilities and increased vulnerability to chronic …
[PDF][PDF] Sepsis Prediction Using CNNBDLSTM and Temporal Derivatives Feature Extraction in the IoT Medical Environment.
Background: Sepsis, a potentially fatal inflammatory disease triggered by infection, carries
significant health implications worldwide. Timely detection is crucial as sepsis can rapidly …
significant health implications worldwide. Timely detection is crucial as sepsis can rapidly …
[HTML][HTML] Advancements in Artificial Intelligence in Emergency Medicine in Taiwan: A Narrative Review
BH Shih, CC Yeh - Journal of Acute Medicine, 2024 - ncbi.nlm.nih.gov
The rapid progression of artificial intelligence (AI) in healthcare has greatly influenced
emergency medicine, particularly in Taiwan—a nation celebrated for its technological …
emergency medicine, particularly in Taiwan—a nation celebrated for its technological …
Erratum: Correction: Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3 (BMC medical informatics and decision making (2024) 24 1
Background Sepsis poses a critical threat to hospitalized patients, particularly those in the
Intensive Care Unit (ICU). Rapid identification of Sepsis is crucial for improving survival …
Intensive Care Unit (ICU). Rapid identification of Sepsis is crucial for improving survival …