Mental Health Disorder Analysis Using Convolution Neural Network Based Speech Signal Model With Integration Of Artificial Intelligence

Mental health is important to every individual, and it has become the major concern of the health care industry. As digital approaches are hitting the life savior count, Artificial Intelligence (AI) is being at the top for providing solutions. With the glance of advanced AI techniques and machine learning algorithms, AI has attracted a lot of attention in health care industry, being used to detect and monitor the health behaviors and maintain track of record to estimate further treatments. Using AI correctly, predicting and detecting the disease can be accurate. This paper provides an overview of some real-time experiences in mental health surveillance.