Platinum heart & liver disease predictor

This is my Class 12 CS project, along with Priyansh Mishra and Rithwik Anand. Platinum is a Machine Learning Program that uses the Naïve-Bayes Classification Algorithm to assess the risk of heart failure and liver disease.

Disclaimer

Platinum aims to educate on the applications of Machine Learning in Medicine. We are not doctors. Please consult your doctor if you have any concerns.

How to use Platinum the easy way (you can ignore this if you are familiar with Google Colaboratory)

Step 1. Click on the Google Colaboratory link on the right side of the repository.

Step 2. Upload the dataset to Google Colaboratory

Firstly, click the file management button at the right side of the webpage

Then, click on the file upload option and upload the 2 datasets.

The file will be uploaded and will appear like this.

Step 3. Click on the run program button

Acknowledgements

liver.csv was obtained from Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.

medical.csv was obtained from Davide Chicco, Giuseppe Jurman: Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone. BMC Medical Informatics and Decision Making 20, 16 (2020) [https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-020-1023-5]