Журнал компьютерных наук и системной биологии

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

Abstract

Albert Figueras, Santiago Esteva, and Josep Llus De La Rosa

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.