Mental illness is a highly prevalent condition that changes people-s minds, emotions, or behavior. Depression is the state of mental illness that impacts the physical and mental health of an individual. Mental illness detection aims to detect the depression level of the sufferers by analyzing their health records and medical data. Healthcare data includes large datasets of patients medical conditions and their complications which helps in better recognizing their mental illness and risk behaviors in detail. Deep learning is an effective solution for mental illness detection from healthcare data.
Deep learning models utilities deep neural networks to handle a huge amount of healthcare data, automatically extract the inherent feature, and predict the mental illness of the patient. Deep learning models efficiently analyze different types of healthcare data on mental health for better mental illness detection and superior performance.