Survival prediction of patients with sepsis from age, sex, and septic episode number alone.

ABSTRACT: Sepsis is a life-threatening condition caused by an exaggerated reaction of the body to an infection, that leads to organ failure or even death. Since sepsis can kill a patient even in just one hour, survival prediction is an urgent priority among the medical community: even if laboratory tests and hospital analyses can provide insightful information about the patient, in fact, they might not come in time to allow medical doctors to recognize an immediate death risk and treat it properly. In this context, machine learning can be useful to predict survival of patients within minutes, especially when applied to few medical features easily retrievable. In this study, we show that it is possible to achieve this goal by applying computational intelligence algorithms to three features of patient

SUBMITTER: Chicco D 

PROVIDER: S-EPMC7555553 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature