April 1, 2024

[Constructing a predictive model for the death risk of patients with septic shock based on supervised machine learning algorithms].

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Abstract

To construct and validate the best predictive model for 28-day death risk in patients with septic shock based on different supervised machine learning algorithms.

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Xie et al. (2024) studied this question.

synapsesocial.com/papers/68e7102ab6db6435876891b6 https://doi.org/10.3760/cma.j.cn121430-20230930-00832

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Abstract

To construct and validate the best predictive model for 28-day death risk in patients with septic shock based on different supervised machine learning algorithms.

[Constructing a predictive model for the death risk of patients with septic shock based on supervised machine learning algorithms].

Abstract

Discussion

Cite This Study

[Constructing a predictive model for the death risk of patients with septic shock based on supervised machine learning algorithms].

Abstract

Discussion

Cite This Study

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