[HTML][HTML] Biological age as a predictor of unplanned intensive care readmission during the same hospitalization

KM Ho - Heart & Lung, 2023 - Elsevier
Background Biological age is increasingly being recognized as an important predictor of
health but its utility in acute care setting remains uncertain. Objective We assessed whether …

LASSO-Based Identification of Risk Factors and Development of a Prediction Model for Sepsis Patients

C Hong, Y Xiong, J Xia, W Huang, A Xia… - … and Clinical Risk …, 2024 - Taylor & Francis
Objective The objective of this study was to utilize LASSO regression (Least Absolute
Shrinkage and Selection Operator Regression) to identify key variables in septic patients …

A Novel Security Model for Healthcare Prediction by Using DL

A Dhoot, R Deva, V Shukla - … Conference on Cryptology & Network Security …, 2023 - Springer
Predictive models are employed in order to forecast forthcoming events of which knowledge
is now lacking. This is achieved by analysing a collection of pertinent predictors or variables …

Outcome prediction for adult mechanically ventilated patients using machine learning models and comparison with conventional statistical methods: a single-centre …

WJD Ong, CH How, WHK Chong, FA Khan, KY Ngiam… - 2023 - researchsquare.com
In this retrospective single-centre study spanning five years (2016–2021) and involving
2,368 adult Intensive Care Unit (ICU) patients requiring over four hours of mechanical …

[HTML][HTML] The predictive values of admission characteristics for 28-day all-cause mortality in septic patients with diabetes mellitus: a study from the MIMIC database

C Yang, Y Jiang, C Zhang, Y Min… - Frontiers in …, 2023 - frontiersin.org
Background Septic patients with diabetes mellitus (DM) are more venerable to subsequent
complications and the resultant increase in associated mortality. Therefore, it is important to …