Advances on machine learning in the diagnosis and treatment of sepsis

doi:10.3877/cma.j.issn.2096-1537.2021.03.010

Abstract

Abstract:

As a big challenge of global healthcare, the main problems of sepsis are the delay of diagnosis and non-specificity of treatment. Machine learning is a data analysis and modeling technique that generates knowledge from data,which provides alarms and suggestions by predicting future events to help clinicians get information beyond their experiences and make decisions. Recently, the attention paid to machine learning has been on the rise in the field of sepsis. Some breakthroughs have already been made in the application of clinical diagnosis, precise treatment, prognostic evaluation of sepsis, which is potential to construct a new system for the diagnosis and treatment of sepsis. This paper reviews relevant articles to summarize advances on machine learning in the diagnosis and treatment of sepsis in order to show the direction for further researches.

Key words: Machine learning, Sepsis, Diagnosis, Treatment

Lianlian Jiang, Jianfeng Xie, Yi Yang. Advances on machine learning in the diagnosis and treatment of sepsis[J]. Chinese Journal of Critical Care & Intensive Care Medicine(Electronic Edition), 2021, 07(03): 252-257.

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URL: https://icu.cma-cmc.com.cn/EN/10.3877/cma.j.issn.2096-1537.2021.03.010

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