Skip to content

Cardio Monitor is a web app that helps you to find out whether you are at risk of developing heart disease. the model used for prediction has an accuracy of 92%. This is the course project of subject Big Data Analytics (BCSE0158).

shsarv/Cardio-Monitor

Repository files navigation

Cardio-Monitor

Ongoing Project

Cardio Monotor is a web app that helps you to find out whether you are at a risk of developing a heart disease. the model used for prediction has the accuracy of 92%.

This is the course project of subject Big Data Analytics (BCSE0158). THe Core Project is available... here.

Abstract -

Over the last few decades, heart disease is the most common cause of global death. So early detection of heart disease and continuous monitoring can reduce the mortality rate. The exponential growth of data from different sources such as wearable sensor devices used in Internet of Things health monitoring, streaming system and others have been generating an enormous amount of data on a continuous basis. The combination of streaming big data analytics and machine learning is a breakthrough technology that can have a significant impact in healthcare field especially early detection of heart disease. This technology can be more powerful and less expensive. To overcome this issue,realtime heart disease prediction system based on apache Spark/ real time input data which stand as a strong large scale distributed computing platform that can be used successfully for streaming data event against machine learning through in-memory computations.

Demo

will be attatched soon.

general working of this web application.

Technology Used.



Future Technology to be Used.



License

Created By - Sarvesh Kumar Sharma

About

Cardio Monitor is a web app that helps you to find out whether you are at risk of developing heart disease. the model used for prediction has an accuracy of 92%. This is the course project of subject Big Data Analytics (BCSE0158).

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published