Multiple Disease Predictor

[samarsajad]

Is there an existing issue for this?

I have searched the existing issues

Feature Description

These algorithms aim to predict multiple types of diseases simultaneously, including diabetes, heart disease, and kidney disease. By leveraging advanced machine learning algorithms and comprehensive medical data, these models provide users with early warnings and actionable insights to manage their health proactively.

Use Case

Multi-Disease Prediction:

Diabetes: Predicts the likelihood of diabetes based on user inputs such as glucose levels, BMI, age, and family history. Heart Disease: Assesses the risk of heart disease using parameters like cholesterol levels, blood pressure, smoking status, and physical activity. Kidney Disease: Evaluates the possibility of kidney disease by analyzing factors such as blood creatinine levels, urine albumin levels, and hypertension. User-Friendly Interface:

Intuitive Design: Easy-to-navigate interface for users of all ages and technical backgrounds. Personalized Dashboard: Customizable dashboard to track and monitor health metrics over time. Comprehensive Data Analysis:

Input Data: Allows users to input their medical history, lifestyle habits, and test results. Real-Time Analytics: Provides real-time analysis and prediction based on the latest data input. Advanced Machine Learning Models:

Algorithm Integration: Utilizes state-of-the-art machine learning models trained on vast datasets for accurate predictions. Continuous Learning: Models are regularly updated with new data to improve prediction accuracy.

[samarsajad]

Please assign this issue to me @Niketkumardheeryan

[invigorzz313]

@samarsajad the issue is assigned.