A Review on the use of Machine Learning Techniques in Music Recommendation System for Healthcare Management

Music is one of the most effective therapies for ailments and pushes patients to heal quickly. By making the patient mentally fit and assisting them in overcoming the ailment, music invokes the patient's thinking emotionally. This survey provides a study of various machine learning techniques and its types utilized in recommendation of music for health care management. The machine learning types include supervised, unsupervised techniques and their sub -categories are discussed. The research shows that music therapy improves people's quality of life while progressively diminishing the effects of sickness on the human body Music therapy through a good recommendation system acts as an effective remedy to eliminate the emotional and psychological health issues of individuals. The classification accuracy is considered as a key parameter to define the effectiveness of music recommendation systems. In this survey, machine learning techniques acts as a tool to recommend music for health care management of patients.