Demo - Classification - Problem - Online Classification

Real-Time Illness Classification Simulation

Overview

This web-based simulation system mimics the classification of illness types (such as COVID-19, Flu, and Other Illnesses) based on patient symptoms. It employs a Neural Network inspired by Stochastic Differential Equations (SDEs) to process real-time data about patient symptoms like fever, cough severity, and fatigue levels.

Features

• Real-Time Updates: Patient data (such as fever, cough severity, fatigue) and their illness classification are updated every 2 seconds.

• Dynamic Classification: Based on the symptom data, patients are classified into one of three categories: COVID-19, Flu, or Other Illness.

• Interactive Table: The system keeps track of the most recent 10 patient entries and their corresponding illness classification.

Applications

✔ Healthcare Monitoring: Useful for screening patients in real-time, such as in hospitals or clinics.
✔ Pandemic Monitoring: Can help detect patterns and classify illness types, especially during viral outbreaks.
✔ Remote Health Monitoring: Could be integrated into wearable health devices or mobile applications to classify illnesses based on symptoms.