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Diabetes Detection using Modin and scikit-learn* (sklearn): Developer Spotlight

Ramya_Ravi
Employee
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Diabetes is a chronic disease that occurs when your blood glucose (blood sugar) is too high. This happens when your pancreas does not make enough insulin or when your body is not responding to the effects of insulin properly. Diabetes is increasingly common in people’s lives with the development of living standards. Therefore, how to diagnose diabetes is a topic worthy of examining. Diabetes detection is the process of predicting whether patients have diabetes or not.

Jayita Bhattacharyya in her blog proposed a solution to Diabetes Detection using Intel® Distribution of Modin*, Intel® Developer Cloud, and Intel® Extension for Scikit-learn*.

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 Diabetes Detection 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 learn more about and incorporate Intel’s other AI/ML Framework optimizations and end-to-end portfolio of tools into your AI workflow. Also, visit AI & ML page covering Intel’s AI software development resources for preparing, building, deploying, and scaling 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:

Jayita Bhattacharyya is currently working as an Associate Consultant at Infosys in Bengaluru, India. Her major interests are software engineering and artificial intelligence.

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