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Chronic Kidney Disease Risk Prediction using Modin and scikit-learn* (sklearn): Developer Spotlight

Ramya_Ravi
Employee
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Chronic Kidney Disease is a condition characterized by loss of function in the kidneys and cannot filter blood as well as they should. If the kidney disease worsens, excess fluid and waste from blood remain in the body and might cause other health problems such as heart disease and nerve damage. It is necessary to have effective methods for early prediction of chronic kidney disease.

Arnab Das in his blog proposed a solution to Chronic Kidney Disease Risk Prediction using Intel® Distribution of Modin*, Intel® Developer Cloud and Intel® Extension for Scikit-learn*.

Article Highlights:

The blog explains the various steps involved in the project:

  1. Installation of required libraries
  2. Data Collection & Preparation
  3. Model Training
  4. Model Testing

Read and learn more about the project at Chronic Kidney Disease Risk Prediction using Intel® AI Analytics Toolkit (AI Kit).

Learn more about Intel Extension for Scikit-learn and Intel Distribution of Modin!!!

Intel Extension for Scikit-learn: This Intel Extension seamlessly speeds up your scikit-learn applications for Intel architectures across single and multi-node configurations. Also, this extension package dynamically patches scikit-learn estimators while improving performance for your machine learning algorithms. By using Scikit-learn with this extension, the performance for training and inference can be improved up to 100x with the equivalent mathematical accuracy.

Intel Distribution of Modin: Modin is a drop-in replacement for the extensively used Python library, Pandas. Intel Distribution of Modin is a performant, parallel, and distributed dataframe system that accelerates Pandas while using a fully compatible API. This adds optimizations to further accelerate processing on Intel® hardware.

Download Intel Extension for Scikit-learn and Intel Distribution of Modin as part of the Intel® AI Analytics Toolkit (AI Kit).

What’s Next?

We encourage you to check out and incorporate Intel’s other AI/ML Framework optimizations and end-to-end portfolio of tools into your AI workflow and learn about the unified, open, standards-based oneAPI programming model that forms the foundation of Intel’s AI Software Portfolio to help you prepare, build, deploy, and scale your AI solutions.

For more details about the new 4th Gen Intel® Xeon® Scalable processors, visit Intel's AI Solution Platform portal where you can learn how Intel is empowering developers to run end-to-end AI pipelines on these powerful CPUs.

About the Author:

Arnab Das is currently working as a Full Stack Engineer at EdgeVerve in Bengaluru, India. His major interests are artificial intelligence, machine learning and blockchain technology.

 

About the Author
Product Marketing Engineer bringing cutting edge AI/ML solutions and tools from Intel to developers.