A Study on Machine Learning Techniques for Precision Medicine Recommendation

Precision medicine is emerging now provides decision making for disease treatment and prevention with the help of genome, environment and lifestyle. This study on precision medicine recommendation system mainly focuses to explore the different optimal techniques to improve and meet the objectives of the precision medicine recommendation. It focuses on the different feature selection techniques and the prediction models for effective diagnosis of the disease, improve the survival rate of the patients and also to suggest the best lifestyle practice to carryover.