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Hardware and Software Infrastructure for Analysis, Processing and Decision Making in Medical Entities Through the Use of Big Data

Abstract:

Information was analyzed from architectures and models generated by research in big data and IoT for the medical area. The problem is the lack of proposals to have hardware and software infrastructures based on scientific research that assist in the analysis and processing phases to make decisions in medical organizations based on large volumes of data. The main objective of this research was to propose the hardware and software infrastructure for analysis, processing, and decision making in medical entities using large volumes of data. The development proposal of the following research work uses the analytical, inductive, deductive, observation, and quasi-experimental method that allows us to propose a general IoT and Big Data model and architecture for medical entities. This proposal resulted in a General IoT model in the health sector, a General IoT architecture for the health sector, and a Big Data …