Identification of distinct clinical phenotypes of cardiogenic shock using machine learning consensus clustering approach

BACKGROUND: Cardiogenic shock (CS) is a complex state with many underlying causes and associated outcomes. It is still difficult to differentiate between various CS phenotypes. We investigated if the CS phenotypes with distinctive clinical profiles and prognoses might be found using the machine lear...

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Detalles Bibliográficos
Autores principales: Wang, Li, Zhang, Yufeng, Yao, Renqi, Chen, Kai, Xu, Qiumeng, Huang, Renhong, Mao, Zhiguo, Yu, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10466857/
https://www.ncbi.nlm.nih.gov/pubmed/37644414
http://dx.doi.org/10.1186/s12872-023-03380-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10466857/
https://www.ncbi.nlm.nih.gov/pubmed/37644414
http://dx.doi.org/10.1186/s12872-023-03380-y

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