Update Blockchain-ML medical health .ipynb

[TushtiSavarn]

here's a brief description of the code:

Import Libraries: The necessary libraries such as pandas, scikit-learn, XGBoost, and Kaggle API are imported. Blockchain Class: Defines a simple blockchain class to store medical reports. Download Data Function: Downloads the dataset from Kaggle using the Kaggle API and unzips it. Load and Prepare Data Function: Reads the downloaded CSV file, preprocesses it by dropping irrelevant columns, encoding categorical variables, and processing the 'Blood Pressure' column. Train Model Function: Splits the data into training and testing sets, scales the features, and trains a voting classifier ensemble using Random Forest and XGBoost classifiers. Predict Stress Level Function: Predicts the stress level based on the user input using the trained model. Get Diagnosis Function: Provides a diagnosis based on the predicted stress level. Get User Input Function: Takes user input for various health parameters. Main Execution: Downloads the dataset. Loads and prepares the data. Trains the model. Takes user input for health parameters. Predicts stress level and provides a diagnosis. Creates a blockchain instance, adds the medical report to it, and retrieves reports based on a user-provided key. This code essentially demonstrates how to build a simple system for predicting stress levels based on health parameters, providing a diagnosis, and storing medical reports securely using blockchain technology.