Geriatric Disease Prediction: A Study on Age-Based Disease Prognostication

The rapid growth in technology leads to the evolution in many sectors one of them being the health sector Where in the health sector Machine learning is playing a vital role in predicting disease. This work depicts the prediction of disease through Machine Learning by training the data with the ML algorithms such as Naïve Bayes, Decision Tree, Logistic Regression,KNN, and Random Forest trained on the provided dataset. Age is taken as the input from the user as symptoms may vary by age and pass the datasets through training and evaluate the metrics. The best algorithm is determined by the accuracy and f1_score.