SDLDpred - Symptom-based Drugs of Lifestyle-related Diseases prediction
SDLDpred is a web-based tool to predict drugs of lifestyle-related diseases using symptoms as features. It uses an unsupervised machine learning model trained using Bisecting K-Means algorithm to perform the prediction. The model was trained with disease-symptom and drug-disease association data of 143 lifestyle-related diseases, 1271 drugs and 305 symptoms. To know more about SDLDpred, go to About page. For help, please refer to Help page.
Please contact Dr. Sudipto Saha (ssaha4@jcbose.ac.in, ssaha4@gmail.com) regarding any further queries.