文章基本信息

标题：DATAMINING BASED MULTIMODE APPROACH FOR ESTIMATING THE RISK UNDER HEART FAILURE CASES
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作者：SYED UMAR ; G. SRIDEVI ; YERRAGUDIPADU SUBBARAYUDU 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：16
页码：3879
出版社：Journal of Theoretical and Applied
摘要：Predictive modelling solutions difficult to assess the risks in the health information technology. People to work longer is the integration of clinical researchers from different areas in different parts of the doctor. Some pages are thick in general, varied and meaningful change over time. Parallel construction tools large data tools can be built and called the doctor can help clinical decisions. In this article, we combine a multi-model forecasts to a new approach to the predictive power of many models to better predict. We show the effectiveness and efficiency of the creative work of the heart study. The results showed that the idea of a predictive model multi-architecture method is better than the best. With modelling errors of prediction models, we can select a group structure that offers value. Further details are made at different levels in the extraction system, resulting in a greater accuracy of the predictions.
关键词：Multi node model; Clustering; Hadoop