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Distributed Parallel Computing in Data Analysis of Osteoporosis.
Waleska Simões, Priscyla; Venson, Ramon; Comunello, Eros; Casagrande, Rogério Antônio; Bigaton, Everson; da Silva Carlessi, Lucas; da Rosa, Maria Inês; Martins, Paulo João.
Stud Health Technol Inform ; 216: 1082, 2015.
Article in English | MEDLINE | ID: mdl-26262381

ABSTRACT

This research aimed to compare the performance of two models of load balancing (Proportional and Autotuned algorithms) of the JPPF platform in the processing of data mining from a database with osteoporosis and osteopenia. When performing the analysis of execution times, it was observed that the Proportional algorithm performed better in all cases.


Subject(s)
Algorithms , Computer Communication Networks/statistics & numerical data , Electronic Health Records/statistics & numerical data , Information Storage and Retrieval/statistics & numerical data , Osteoporosis/epidemiology , Population Surveillance/methods , Age Distribution , Brazil/epidemiology , Female , Humans , Osteoporosis/diagnosis , Prevalence , Risk Factors
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