A Comprehensive Review on Predictive Analytical Solutions for Sepsis Patients

Abstract

Sepsis is a grave medical complication that arises from an infection within the body, with the potential to result in tissue damage, organ dysfunction, or even fatal outcomes. Early detection is very much required to reduce the mortality rate. The different types of sepsis-like Sepsis-1, Sepsis-2, and Sepsis-3. The research community has a wide range of study options since the definition of sepsis is always changing. The gold standard for early sepsis diagnosis has been used in research about sepsis detection, although it performs poorly in comparison to machine learning algorithms. In this paper a detailed review of research papers is done to do an analysis of data source, feature selection, metric selection, and future scope