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The modeling data is very important in building systems, it gives an idea of the complete operation and helps in the process of mining data. From this information, a system was developed to facilitate the clinical management in primary health care, improving efficiency in reducing the morbidity and mortality. The software is focused on major cardiovascular risk factors: diabetes, hypertension, dyslipidemia...
Many advances in medicine, but the occurrence of errors that accompany the completion of forms are inevitable for the human condition [3]. An information system is to achieve the prescription indicating possible drug interactions, reducing a large number of incidents related to medical errors. The implementation of the system also reduces the time of hospital beds and administrative costs, allowing...
The aims this paper is to display the apriori data mining method results implanted in SINPE?? (Electronic Protocols Integrated System) in an Enteral Nutrition research. We developed the data mining in the SINPE and later the items body mass index (BMI or IMC) and Enteral diet were selected from the database of the Homecare Enteral Nutrition Research. The parameters used were 10% support and 50% confidence...
The cardiovascular diseases are the most responsible for the deaths among adults in most of the world. Facilitate the clinical management in primary health care is essential to improve efficiency and to reduce morbidity and mortality. This article describes about a software focused on the management of major cardiovascular risk factors - CRF (diabetes, hypertension, dyslipidemia, smoking and others)...
The causes of the failure pertaining to school, in regards to the evasion enter the student of average education, by means of the analysis of the social representations that the students who abandon the school formulate in relation to the knowledge, to the world of the work, the social relations and others. Thus, the failure pertaining to school can vary in function definitive aspects and factors...
This article presents a case study about data mining applied in IVR's navigation trees. Using data from a call center, the main objective is to discover patterns with information about the phone calls. Using a specific part from this information, it shows an analysis about the navigation tree of the offered service. With the WEKA, a data mining toolkit, which provides a lot of possibilities of data...
Usually data mining applications present diverse models to get the waited specific results. However the same don't include any ontology to represent and better assist the understanding of the concepts of meta-model, sub-model and relationships that implicitly exist in the models. Relational models of mining are widely used and multi-relational models recently start to become important. This article...
A e-business model generally it is determined in accordance with the business, for a data warehouse model, the idea is not only to mirror the business in the model and yes to do that integrating several areas of determined domain. Using the principal concepts of business and models of data, an approach of use will be presented of software that more current used software the most used e-business software...
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