An AI-Based Disease Prediction System for Early Healthcare Diagnosis

Artificial intelligence is being utilized in healthcare to support decision-making and achieve early disease detection. This article proposes an artificial intelligence-based disease prediction system that determines diseases based on symptoms input by the user. The Random Forest classifier was selected for the proposed system due to its speed and accuracy on medical data. The dataset is preprocessed by cleaning, encoding, and feature selection to increase the prediction accuracy. A basic interface is designed to let the user input the symptoms and receive the prediction result instantly. It should be noted that the system does not replace a medical practitioner but can provide early insight for the user to take appropriate action. The experimental results indicate that the model achieves high accuracy and generalizes well over other cases.-

Crisis Detection, Social Media Analysis, Natural Language Processing, Multi-Layer Perceptron, TF-IDF, Geospatial visualization, Emergency Management.