dc.contributor.author
Figueras Coma, Albert
dc.contributor.author
Esteva Payet, Santiago
dc.contributor.author
Rosa, Josep Lluís de la
dc.date.accessioned
2025-03-27T00:42:24Z
dc.date.available
2025-03-27T00:42:24Z
dc.date.issued
2020-07-14
dc.identifier
http://hdl.handle.net/10256/26633
dc.identifier.uri
http://hdl.handle.net/10256/26633
dc.description.abstract
This work deals with the problem of knowing a group of people that adequately responds to a specific treatment in order to classify community in groups is the objective. In the process to make this classification, a lot of work is necessary to analyze the results from the cluster analysis and obtain the minimal parameters that define a specific group that can be classified as treatment target. Also is presented the algorithm called Custom-clustering to solve this problem
dc.format
application/pdf
dc.publisher
Hilaris Publishing
dc.relation
info:eu-repo/semantics/altIdentifier/doi/10.37421/0974-7230.2020.13.311
dc.relation
info:eu-repo/semantics/altIdentifier/issn/0974-7230
dc.rights
Attribution 4.0 International
dc.rights
http://creativecommons.org/licenses/by/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Journal of Computer Science & Systems Biology, 2020, vol. 13, núm. 4
dc.source
Articles publicats (D-EEEiA)
dc.subject
Anàlisi de conglomerats
dc.subject
Cluster analysis
dc.subject
Pandèmia de COVID-19, 2020-
dc.subject
COVID-19 Pandemic, 2020-
dc.title
A Study of Using Custom-Clustering Algorithm for a New Treatment of COVID-19
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion
