• Dr. Deepti H. Pethkar

Music therapy is a crucial technique used by music therapists to treat various health issues. A machine learning model has been developed to predict the therapeutic benefits of a specific song for patients. The model uses a multi-class neural network to classify emotions into four categories and predict the output. The model considers a person's musical and emotional characteristics, as well as solfeggio frequencies. During the training phase, a subset of the Million Dataset is used. The model predicts the song's therapeutic effects based on the user's symptoms and according to that the type of music should be selected by this algorithm. If the selected song is inappropriate, the model recommends another suitable song. The model has been tested on numerous individuals and has achieved high performance indicators, making it suitable for music therapists and patients.

Machine Learning Model, Music Therapy, Symptoms, disease reponse.

"MACHINE LEARNING MODEL FOR SPECIFIC SYMPTOMS OF DISEASE RESPONSE BY MUSIC THERAPY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.262-264, April-2024, Available :http://www.jetir.org/papers/JETIRGE06052.pdf

"MACHINE LEARNING MODEL FOR SPECIFIC SYMPTOMS OF DISEASE RESPONSE BY MUSIC THERAPY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. pp262-264, April-2024, Available at : http://www.jetir.org/papers/JETIRGE06052.pdf