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- W2912150096 abstract "Cardiovascular diseases (CVDs) have turned out to be one of the life-threatening diseases in recent times. The key to effectively managing this is to analyze a huge amount of datasets and effectively mine it to predict and further prevent heart-related diseases. The primary objective of this chapter is to understand and survey various information mining strategies to efficiently determine occurrence of CVDs and also propose a big data architecture for the same. The authors make use of Apache Spark for the implementation." @default.
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- W2912150096 date "2019-01-01" @default.
- W2912150096 modified "2023-10-14" @default.
- W2912150096 title "Cardiovascular Disease Prediction Using Data Mining Techniques" @default.
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- W2912150096 doi "https://doi.org/10.4018/978-1-5225-7338-8.ch007" @default.
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