SynthCases: Synthetic Patient Creator and Disease Classifier
Tags: Healthcare AI · Machine Learning
A disease recommendation system using ensemble classifiers trained on synthetic patient data reflecting real-world demographics. The data generator accounts for risk factors, family history, and medical history. The classifier uses a multi-layer pipeline: first predicting disease probabilities from symptoms, then filtering using an ethnicity-based prevalence look-up table, and finally making a final prediction using the patient’s risk factors.