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A Study of Using Custom-Clustering Algorithm for a New Treatment of COVID-19

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

Hilaris Publishing

Autor: Figueras Coma, Albert
Esteva Payet, Santiago
Rosa, Josep Lluís de la
Data: 14 juliol 2020
Resum: 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
Format: application/pdf
Accés al document: http://hdl.handle.net/10256/26633
Llenguatge: eng
Editor: Hilaris Publishing
Col·lecció: info:eu-repo/semantics/altIdentifier/doi/10.37421/0974-7230.2020.13.311
info:eu-repo/semantics/altIdentifier/issn/0974-7230
Drets: Attribution 4.0 International
URI Drets: http://creativecommons.org/licenses/by/4.0/
Matèria: Anàlisi de conglomerats
Cluster analysis
Pandèmia de COVID-19, 2020-
COVID-19 Pandemic, 2020-
Títol: A Study of Using Custom-Clustering Algorithm for a New Treatment of COVID-19
Tipus: info:eu-repo/semantics/article
Repositori: DUGiDocs

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