Desafios e Tendências na Predição de Sepse

• Lourival G. Silva Jr. UFC
• Rossana M. C. Andrade UFC
• Joaquim Celestino Jr. UECE

DOI: https://doi.org/10.5753/sbcas.2023.230163

Abstract

Sepsis is one of the main causes of death in Intensive Care Units (ICU) and has high costs for health systems worldwide. Therefore, it is important to discover the challenges and trends on this topic to contribute to future research. This work presents a Systematic Literature Mapping (SLM) in which articles were analyzed within the range of 2016 to 2020 with a focus on sepsis prediction. The results showed, in addition to other evidences, that the diversity of sepsis prediction models found reveals a clear need for standardization in this area.

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