Machine learning-based prognostic modeling of patients with acute heart failure receiving furosemide in intensive care units

PURPOSE: This study developed machine learning models to predict in-hospital mortality, initiation of acute renal replacement therapy, and mechanical ventilation in patients with acute heart failure receiving furosemide in intensive care units. METHOD: An extensive database comprising static and dyn...

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Detalles Bibliográficos
Autores principales: Kamio, Tadashi, Ikegami, Masaru, Machida, Yoshihito, Uemura, Tomoko, Chino, Naotaka, Iwagami, Masao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422900/
https://www.ncbi.nlm.nih.gov/pubmed/37576718
http://dx.doi.org/10.1177/20552076231194933

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422900/
https://www.ncbi.nlm.nih.gov/pubmed/37576718
http://dx.doi.org/10.1177/20552076231194933

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