Effective Heart Disease Prediction Using IBM Auto AI Service

Build a machine learning model that can efficiently predict heart failure of patients based on their health status using IBM services

8 Hrs. | Basic

INR 0

This Course Includes:

  • 30 Days Access to Workspace
  • Dedicated Mentor Support
  • Project Resources & References
  • Project Completion Certificate
Skills you will develop

  • IBM Cloud
  • IBM Watson
  • Node- RED
  • IBM Machine Learning
  • IBM Cloud Object Storage
Project Description
Cardiovascular diseases (CVDs) are the number 1 cause of death globally, taking an estimated 17.9 million lives each year, which accounts for 31% of all deaths worldwide.
Heart failure is a common event caused by CVDs and this dataset contains 9 features that can be used to predict mortality by heart failure.
In this project, you need to build a model using Auto AI and build a web application where we can showcase the prediction of heart failure.

Services Used:

  • IBM Watson Studio
  • IBM Watson Machine Learning
  • Node-RED
  • IBM Cloud Object Storage

Technical Architecture:


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