COVID-19 diagnosis by routine blood tests using machine learning
Abstract Physicians taking care of patients with COVID-19 have described different changes in routine blood parameters. However, these changes hinder them from performing COVID-19 diagnoses. We constructed a machine learning model for COVID-19 diagnosis that was based and cross-validated on the rout...
Guardado en:
Autores principales: | Matjaž Kukar, Gregor Gunčar, Tomaž Vovko, Simon Podnar, Peter Černelč, Miran Brvar, Mateja Zalaznik, Mateja Notar, Sašo Moškon, Marko Notar |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/5e6c746d9f7d42ca988860072ce91764 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
An application of machine learning to haematological diagnosis
por: Gregor Gunčar, et al.
Publicado: (2018) -
THE PHENOMENON OF CORRUPTION IN THE EUROPEAN UNION
por: Škabar Mateja, et al.
Publicado: (2021) -
Influenza colloidal gold method and blood routine tests combination for rapid diagnosis of influenza: a decision tree-based analysis
por: Xiaoguang Li, et al.
Publicado: (2021) -
Operationalizing a frailty index using routine blood and urine tests
por: Ritt M, et al.
Publicado: (2017) -
Deep forest model for diagnosing COVID-19 from routine blood tests
por: Maryam AlJame, et al.
Publicado: (2021)