DEPRESSION: AN ANALYSIS OF THE COVID-19 PANDEMIC, ADVANCED TECHNOLOGIES IN DIAGNOSIS AND TREATMENT
Didigam Pavani*, Peddapaidi Rishitha, Kunchala Narendra, Gudala Nikhil, Dr. T. Rama Rao
ABSTRACT
"Depression is a severe, ongoing medical disorder that has a profound impact on all facets of a person's life. It is potentially lethal when it results in suicidal thoughts. It is crucial for a patient to consult a doctor with experience treating depression and to be open to trying a variety of treatments considering depression tends to be difficult to treat. The best outcomes are frequently achieved when therapy and medicine are combined.[1] The brief, which is supported by a thorough analysis of the data about COVID-19's effects on mental health and mental health services and includes estimates from the most recent Global Burden of Disease study, demonstrates how the pandemic has impacted young people's mental health and how they are disproportionately more likely to engage in suicidal and self-harming behaviors.[2] Through the development of accurate and individualized methods for the identification, diagnosis, and treatment of depression, new technologies like machine learning, deep learning, and artificial intelligence are changing the field of mental health care. An new specialty called precision psychiatry use cutting-edge computational methods to provide tailored care. In order to provide the best care, these systems can recognize and treat people who have mental health disorders.[3] Due to increased global prevalence of the condition and its difficult to treat, researchers are concentrating on preventing depression. Depression is more likely to occur when there is stress, social pressure, and environmental pressure. With self-adjustment as a guide to prevent major depressive illnesses, controlling external causes might be more beneficial in the immediate future.[4]
Keywords: depression, covid-19, diagnosis, artifical intellegence, machine learning, treatment.
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