Understanding the Role of Artificial Neural Networks in the Prediction of Mental Health Diseases

Abstract

The healthcare organizations and life sciences are increasingly leveraging machine learning techniques such as Artificial Neural Networks (ANN) due to their potentiality. A considerable issue being faced by the healthcare organizations is to provide quality services at costs that can be easily afforded. Throughout the entire course of health care, many patients develop serious problems that can lead to severe discomfort, expensive treatment, disabilities and more. Early prediction of disease is one of the most important requirements in medical field. It allows the healthcare professionals to undertake preventive measures thereby lending a helping hand in improving patient safety, quality of care as well as reducing the medical costs too. Many prognostic methods focus on ANN to provide new and deep insights into the patient’s health condition. This paper provides the description of working and learning of predictive machine learning technique ANN, for solving many real-world decision modelling problems in context to health care. It throws light on the factors responsible for different mental diseases which are then perceived and mathematically modelled.