Liver Disease occurs when it negatively affects the normal and healthy performance of the liver. There are several types of liver diseases caused due to numerous factors such as infections, misuse of alcohol, obesity, and inherited conditions. Early diagnosis and treatment for liver diseases will help heal the disease and prevent liver failure. Liver Disease Detection is the process of predicting whether patients have liver disease or not.
Arnab Das in his blog proposed a solution to Liver Disease 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:
- Installation of required libraries.
- Data Collection & Preparation
- Model Training
- Model Testing
Read and learn more about the project at Liver Disease 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 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.
Product Marketing Engineer bringing cutting edge AI/ML solutions and tools from Intel to developers.