Mortality Prediction from Hospital-Acquired Infections in Trauma Patients Using an Unbalanced Dataset

OBJECTIVES: Machine learning has been widely used to predict diseases, and it is used to derive impressive knowledge in the healthcare domain. Our objective was to predict in-hospital mortality from hospital-acquired infections in trauma patients on an unbalanced dataset. METHODS: Our study was a cr...

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Detalles Bibliográficos
Autores principales: Karajizadeh, Mehrdad, Nasiri, Mahdi, Yadollahi, Mahnaz, Zolfaghari, Amir Hussain, Pakdam, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674815/
https://www.ncbi.nlm.nih.gov/pubmed/33190462
http://dx.doi.org/10.4258/hir.2020.26.4.284

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674815/
https://www.ncbi.nlm.nih.gov/pubmed/33190462
http://dx.doi.org/10.4258/hir.2020.26.4.284

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