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 …

Remote photoplethysmography‐based human vital sign prediction using cyclical algorithm

K Gupta, R Sinhal, SS Badhiye - Journal of Biophotonics, 2024 - Wiley Online Library
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 …

Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3

MS Rahman, KR Islam, J Prithula, J Kumar… - BMC medical informatics …, 2024 - Springer
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 …

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 …

Predictors of intradialytic hypotension in critically ill patients undergoing kidney replacement therapy: a systematic review

RMC Lyrio, E Macedo, R Murugan, AA da Silva… - Intensive Care Medicine …, 2024 - Springer
Background This systematic review aims to identify predictors of intradialytic hypotension
(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 …

Explainable Deep Learning Model for Predicting Serious Adverse Events in Hospitalized Geriatric Patients Within 72 Hours

TY Hsu, CY Cheng, IM Chiu, CHR Lin… - … Interventions in Aging, 2024 - Taylor & Francis
Background The global aging population presents a significant challenge, with older adults
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.

S Sakri, S Basheer, ZM Zain… - Computers, Materials & …, 2024 - cdn.techscience.cn
Background: Sepsis, a potentially fatal inflammatory disease triggered by infection, carries
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 …

Erratum: Correction: Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3 (BMC medical informatics and decision making (2024) 24 1

MS Rahman, KR Islam, J Prithula, J Kumar, M Mahmud… - 2024 - qspace.qu.edu.qa
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 …