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A Hybrid Information Mining Approach for Knowledge Discovery in Cardiovascular Disease (CVD)
2018
Information
The healthcare ambit is usually perceived as "information rich" yet "knowledge poor". Nowadays, an unprecedented effort is underway to increase the use of business intelligence techniques to solve this problem. Heart disease (HD) is a major cause of mortality in modern society. This paper analyzes the risk factors that have been identified in cardiovascular disease (CVD) surveillance systems. The Heart Care study identifies attributes related to CVD risk (gender, age, smoking habit, etc.) and
doi:10.3390/info9040090
fatcat:aiwn2vqpgbbp5nvgngjh3jxve4