Evaluation of Mutual Information and Feature Selection for SARS-CoV-2 Respiratory Infection

This study aims to develop a predictive model for SARS-CoV-2 using machine-learning techniques and to explore various feature selection methods to enhance the accuracy of predictions. A precise forecast of the SARS-CoV-2 respiratory infections spread can help with efficient planning and resource all...

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Detalles Bibliográficos
Autores principales: Kidambi Raju, Sekar, Ramaswamy, Seethalakshmi, Eid, Marwa M., Gopalan, Sathiamoorthy, Karim, Faten Khalid, Marappan, Raja, Khafaga, Doaa Sami
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376564/
https://www.ncbi.nlm.nih.gov/pubmed/37508907
http://dx.doi.org/10.3390/bioengineering10070880

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376564/
https://www.ncbi.nlm.nih.gov/pubmed/37508907
http://dx.doi.org/10.3390/bioengineering10070880

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