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• W3128883559 abstract "For many decades society did need to monitor and assess the standard of living of the population. In the 1950s, the United Nations (UN) saw this need and proposed 12 areas that should be evaluated, the first of which is listed under Health and Demography, which focuses on what is expressed as the level of a population's health. Decades have passed and great results have been gained from similar initiatives such as reducing mortality from infectious diseases and even eradicating some others. In the age of the digital society, needs have grown. Monitoring demands that once perished from data to become concrete now suffer from the opposite effect, the excess of data from everywhere. Healthcare systems around the world use many different information systems, collecting and generating hundreds of data at unimaginable speed. We are billions of people on the planet and most of us are connected to the virtual world, sharing information, experiences and events with some kind of cloud. In this information age, the ability to aggregate and process this data is a major factor in raising public health to a new level. The development of tools capable of analyzing a large volume of data in seconds and producing knowledge for targeted decision making can help in the fight against specific diseases, in the process of continuing education of professionals, in the formation of new professionals, in the elaboration of new policies. with the specific locoregional look, in the analysis of hidden trends in front of so much information faced in everyday life and other possibilities. The present work proposes an architecture capable of storing and manipulating seeking to standardize the variables in order to allow to correlate this large amount of data in a systematic way, providing to several services and researchers the possibility of consuming health, social, economic and educational data for the promotion of public health." @default.
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• W3128883559 date "2020-11-25" @default.
• W3128883559 modified "2023-10-16" @default.
• W3128883559 title "A big data architecture to a multiple purpose in healthcare surveillance" @default.
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• W3128883559 doi "https://doi.org/10.1145/3401895.3402092" @default.
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