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Computational Methods in Psychiatry

Overview of attention for book
Computational Methods in Psychiatry
Springer Nature Singapore

Table of Contents

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    Book Overview
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    Chapter 1 Mental Health in Italy During the Pandemic: A Shift from Self-determination to Solidarity?
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    Chapter 2 Analysis of Depression Disorder with Motor Activity Time-Series Data Using Machine Learning and Deep Learning
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    Chapter 3 Intelligent Monitoring System Based on ATmega Microcontrollers in Healthcare with Stress Reduce Effect
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    Chapter 4 Predictive Measures to Tackle Mental Disorders During COVID-19
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    Chapter 5 Intelligent Digital Monitoring of the Levels of Stress
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    Chapter 6 Consequences of Brain Health in the Digital Era
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    Chapter 7 Brain Health in the Digital Era
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    Chapter 8 Work from Home and its Impact on Lifestyle of Humanoid in the Context of COVID-19
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    Chapter 9 Deep Feedforward Neural Networks for Prediction of Mental Health
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    Chapter 10 The Challenge of Self-diagnosis on Mental Health Through Social Media: A Qualitative Study
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    Chapter 11 Relationship Between Mortality and Mental Health Disorders
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    Chapter 12 Recent Developments in the Application of Computer-Aided Drug Design in Neurodegenerative Disorders
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    Chapter 13 Student Stress Detection in Online Learning During Outbreak
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    Chapter 14 Emotional Recognition and Expression Based on People to Improve Well-Being
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    Chapter 15 Applications of 4.0 Technologies in Healthcare
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    Chapter 16 Student’s Stress Detection in Online Learning During the Outbreak
Attention for Chapter 8: Work from Home and its Impact on Lifestyle of Humanoid in the Context of COVID-19
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