| Description |
1 online resource (viii, 348 pages) : illustrations (some color) |
| Contents |
1 COVID impact on Italian health system: from self determination to solidarity -- 2 Mental health and psychological wellbeing of maritime personnel: Factors affecting Mental Health of Seafarers on Board Merchant Ships -- 3 Intelligent monitoring system based on ATMEGA microcontrollers in healthcare with stress reduce effect -- 4 Predictive Measures to tackle Mental Health During COVID-19 -- 5 Intelligent Digital Monitoring of levels of stress -- 6 Consequences of brain health in digital era -- 7 AI-based Framework for Association between Depression and Physical Health Disorders -- 8 WFH and its impacts on lifestyle of humanoid in the context of covid-19 -- 9 Digital Mental Health Prediction and Enhancement using Deep Feed Forward Neural Network and Psychiatry Tools -- 10 The challenge of self-diagnosis on mental health through social media: A qualitative study -- 11 Relationship between mortality and mental health disorders -- 12 Recent Developments in the Application of Computer-Aided Drug Design to Neurodegenerative Disorders -- 13 Intelligent Stress Cause and its Level Monitoring of Teachers in Private Engineering Colleges -- 14 Student Stress Detection in Online Learning during Outbreak -- 15 A Review on Mental and Physical Health Acceptance of Immunization and Vaccination for COVID-19 Pandemic a Conscience of Humans Perception Using SWOT Analysis -- 16 Application of Smart Intelligent technologies in health care using 4.0 Perspectives |
| Summary |
This book presents a particular area of interest in computing psychiatry with the modelling of mood and anxiety disorders. It highlights various methods for building these models. Clinical applications are prevalent due to the growth and interaction of these multiple approaches. Besides, it outlines some original predictive and computational modelling ideas for enhancing psychological treatment interventions. Computational psychiatry combines multiple levels and types of computation with different data types to improve mental illness understanding, prediction, and treatment |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed December 15, 2023) |
| Subject |
Psychiatry -- Data processing
|
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Psychiatry -- Data processing.
|
| Form |
Electronic book
|
| Author |
Battineni, Gopi, editor.
|
|
Mittal, Mamta, Ph. D., editor.
|
|
Chintalapudi, Nalini, editor
|
| ISBN |
9789819966370 |
|
981996637X |
|
