Sepsis is the third-highest mortality disease in intensive care units (ICUs). In this paper, we
proposed a deep learning model for predicting the severity of sepsis patients. Most existing …

The purpose of this study is to identify additional clinical features for sepsis detection
through the use of a novel mechanism for interpreting black-box machine learning models …

Sepsis is the third-highest mortality disease in intensive care units (ICU) and expensive
treatment costs, but the best treatment strategy remains uncertain. In this paper, we …

Sepsis is a severe medical condition that results in millions of deaths globally each year. In
this paper, we propose a Channelled Long-Short Term Memory Network model tasked with …

Sepsis is a life-threatening disease that is associated with organ dysfunction. It occurs due to
the body's dysregulated response to infection. It is difficult to identify sepsis in its early …

Sepsis poses a major global health threat, accounting for millions of deaths annually and
significant economic costs. Accurate predictions of mortality risk in sepsis patients facilitate …

Objectives: Sepsis is caused by infection and subsequent overreaction of immune system
and will severely threaten human life. The early prediction is important for the treatment of …

In the intensive care unit (ICU), Trauma is one of the leading causes of death worldwide,
about 40\% of death occurred during hospitalization and 22\% are caused by sepsis. Sepsis …

Sepsis is a life-threatening complication to infections, and early treatment is key for survival.
Symptoms of sepsis are difficult to recognize, but prediction models using data from …

Background We aimed to develop an early warning system for real-time sepsis prediction in
the ICU by machine learning methods, with tools for interpretative analysis of the predictions …