This feature uses a logistic regression model trained on an influenza dataset similar to those from the UCI Machine Learning Repository.
The model analyzes symptoms like fever, cough, chest pain, and other factors (including age, sex, and comorbidities) to estimate
the probability of survival. The inputs are processed in Python via a Flask backend, which returns a prediction to this page.