Title
Monte Carlo simulation for prediction of worsening conditions of type-2 diabetes patients at peri-urban zones of lima city
Date Issued
25 January 2017
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
From a sample of 1K type-2 diabetes cases, using Monte Carlo simulation and real data, we have estimated that a 2.5% might be potential candidates in being in the highest levels of progress of type-2 diabetes as manifested in nephropathy or necrosis, In addition, a 1 % of the sample might be highly sensitive to cardiovascular attack. The pattern of the sample is characterized by having low incomes per month, poor education to improve lifestyle, as well as the lack of contact with health specialist, among others. The results of this simulation might serve to reconfigure ongoing schemes of public health aiming to reduce diabetes complications and extend minimally the lifetime of those type-2 diabetes patients belonging to vulnerable groups.
Language
English
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones Endocrinología, Metabolismo (incluyendo diabetes, hormonas) Urología, Nefrología
Scopus EID
2-s2.0-85013874877
ISBN of the container
9781509016334
Conference
Proceedings of the 2016 42nd Latin American Computing Conference, CLEI 2016
Sources of information: Directorio de Producción Científica Scopus