Posttraumatic stress responses are characterized by a heterogeneity in clinical appearance
and etiology. This heterogeneity impacts the field's ability to characterize, predict, and …

Anxiety disorders are a type of mental disorders characterized by important feelings of fear
and anxiety. Recently the evolution of machine learning techniques has helped greatly to …

Heart attack and anxiety disorder are proving to be two major medical complexities in the
present scenario. This study illustrates the role of machine learning and artificial neural …

Background Anxiety is considered one of the most common pathologies that people go
through frequently, this being the main cause of illness and disability in students since it is …

The concepts of the smart city and the Internet of Things (IoT) have been facilitating the
rollout of medical devices and systems to capture valuable information of humanity. A lot of …

Sentiment Analysis [SA] is a method that is used to detect the state of some information or
text. It can be applied to tasks such as text classification and summarization, and various …

Anxiety is a normal human emotion. Our brain reacts to external stimuli such as stress and
alerts us of any potential danger that lies ahead. With the recent evolution and development …

Exploratory data analysis helps to recognize natural patterns hidden in the data. This book
describes the tools for hypothesis generation by visualizing data through graphical …

Early diagnosis of children's health problems helps the professionals to treat it at an earlier
stage and improves their quality of life. The life skills of the young minds are the best …

Anxiety disorders constitute the largest group and the most common type of mental
disorders. At the same time, machine learning techniques can be used for analysing a …