Feature-based deep neural network approach for predicting mortality risk in patients with COVID-19

In this study, we integrate deep neural network (DNN) with hybrid approaches (feature selection and instance clustering) to build prediction models for predicting mortality risk in patients with COVID-19. Besides, we use cross-validation methods to evaluate the performance of these prediction models...

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Detalles Bibliográficos
Autores principales: Chang, Thing-Yuan, Huang, Cheng-Kui, Weng, Cheng-Hsiung, Chen, Jing-Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277846/
https://www.ncbi.nlm.nih.gov/pubmed/37366394
http://dx.doi.org/10.1016/j.engappai.2023.106644

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277846/
https://www.ncbi.nlm.nih.gov/pubmed/37366394
http://dx.doi.org/10.1016/j.engappai.2023.106644

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