Machine learning-based prediction of in-hospital mortality for critically ill patients with sepsis-associated acute kidney injury

Objectives This study aims to develop and validate a prediction model in-hospital mortality in critically ill patients with sepsis-associated acute kidney injury (SA-AKI) based on machine learning algorithms.Methods Patients who met the criteria for inclusion were identified in the Medical Informati...

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Egile Nagusiak:	Tianyun Gao, Zhiqiang Nong, Yuzhen Luo, Manqiu Mo, Zhaoyan Chen, Zhenhua Yang, Ling Pan
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Taylor & Francis Group 2024-12-01
Saila:	Renal Failure
Gaiak:	Sepsis acute kidney injury prediction model of prognosis machine learning algorithms
Sarrera elektronikoa:	https://www.tandfonline.com/doi/10.1080/0886022X.2024.2316267
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