Forecasting the Chances of Having Cardio Vascular Disease in Patients Using Data Mining Tool

Forecasting the Chances of Having Cardio Vascular Disease in Patients Using Data Mining Tool

Authors

  • Ms. Jetty Banjamin sfaf
  • Harikrishnan R

Keywords:

Weka, Cardio Vascular Disease, Data mining, attributes, algorithms, accuracy

Abstract

In the framework of the health-care system,
health issues are tremendous in this current
environment, particularly cardiac illnesses as a result of
altered lifestyles such as eating habits and lack of
exercise. The data mining sector comprised the
prediction and detection of anomaly, as well as the
discovery of relevant patterns for future research and
their risk rate in these areas, employing algorithms
classification systems. Today the health industry holds
hidden information essential for decision-making.

Published

2022-12-20

How to Cite

Ms. Jetty Banjamin, & Harikrishnan R. (2022). Forecasting the Chances of Having Cardio Vascular Disease in Patients Using Data Mining Tool. National Conference on Emerging Computer Applications, 3(1). Retrieved from https://ajcejournal.in/nceca/article/view/102

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