Cognitive Internet of Things (IoT) and computational intelligence for mental well-being

Thapa S., Ghimire A., Adhikari S., Bhoi A. K., Barsocchi P.

Computational intelligence  Internet of things  Machine learning  Mental well-being  Neurodegenerative diseases 

In the current world of competition and constant struggle, taking care of mental well-being is of the upmost importance. With hundreds of millions of people suffering from mental disorders like depression, Alzheimer disease, schizophrenia, etc. each year, intelligent systems are needed that can diagnose, track, and manage the mental well-being of individuals. Computers have been widely used in various clinical applications such as clinical text analysis and medical image analysis. Computers have found uses in various medical domains such as cancer diagnosis, tumor analysis, etc. Computational intelligence has been used in building smart predictive models that can be of huge significance for diseases that require early clinical intervention. Depression, Alzheimer disease, etc. are mental disorders that worsen with time when not treated appropriately. Thus, there should be systems to identify mental disorders at an early stage. In this chapter, various methods in which mental well-being can be taken care of using computational intelligence are discussed.

Source: Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data, edited by Bhoi A.K., de Albuquerque V.H.C., Srinivasu P.N., Marques G., pp. 59–77, 2022

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