Using Machine Learning to Develop and Validate an In-Hospital Mortality Prediction Model for Patients with Suspected Sepsis

Background: Early recognition of sepsis and the prediction of mortality in patients with infection are important. This multi-center, ED-based study aimed to develop and validate a 28-day mortality prediction model for patients with infection using various machine learning (ML) algorithms. Methods: P...

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Detalles Bibliográficos
Autores principales: Chao, Hsiao-Yun, Wu, Chin-Chieh, Singh, Avichandra, Shedd, Andrew, Wolfshohl, Jon, Chou, Eric H., Huang, Yhu-Chering, Chen, Kuan-Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030924/
https://www.ncbi.nlm.nih.gov/pubmed/35453552
http://dx.doi.org/10.3390/biomedicines10040802

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030924/
https://www.ncbi.nlm.nih.gov/pubmed/35453552
http://dx.doi.org/10.3390/biomedicines10040802

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