Data analytics and clinical feature ranking of medical records of patients with sepsis.

ABSTRACT:

Background

Sepsis is a life-threatening clinical condition that happens when the patient's body has an excessive reaction to an infection, and should be treated in one hour. Due to the urgency of sepsis, doctors and physicians often do not have enough time to perform laboratory tests and analyses to help them forecast the consequences of the sepsis episode. In this context, machine learning can provide a fast computational prediction of sepsis severity, patient survival, and sequential organ failure by just analyzing the electronic health records of the patients. Also, machine learning can be employed to understand which features in the medical records are more predictive of sepsis severity, of patient survival, and of sequential organ failure in a fast and non-invasive way.

Dat

SUBMITTER: Chicco D 

PROVIDER: S-EPMC7860202 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature