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Predictive Analytics of Psychological Disorders in Healthcare

Overview of attention for book
Predictive Analytics of Psychological Disorders in Healthcare
Springer Nature Singapore

Table of Contents

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    Book Overview
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    Chapter 1 Predictive Analysis of Psychological Disorders on Health
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    Chapter 2 The Rising Aesthetic Concern with Digitalization: Qualitative Evidences from Turkey
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    Chapter 3 AI-Based Predictive Analytics for Patients’ Psychological Disorder
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    Chapter 4 Monitoring the Impact of Stress on Facial Skin Using Affective Computing
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    Chapter 5 Computational Techniques in Prognostic and Data Modelling of Mentally Ill Patients with Special Emphasis on Post-COVID-19 Scenario
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    Chapter 6 Predicting Depression Through Social Media
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    Chapter 7 COVID-19 Impact on Online Learning: A Statistical and Machine Learning Model Analysis for Stress Detection
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    Chapter 8 Measuring Mental Health at Workplaces Using Machine Learning Techniques
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    Chapter 9 Old Age People Emotional Stress Prediction During Outbreak Using Machine Learning Methods
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    Chapter 10 Unlocking the Psychological Toolbox: To Transform or to Sustain
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    Chapter 11 Sentimental Analysis of Fears, Psychological Disorders and Health Issues Through NVIVO During Second Wave of Covid-19
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    Chapter 12 Tertiary Students Stress Detection During Online Learning in Jos, Nigeria
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    Chapter 13 Prediction of Mental Health in Cancer Patients Using Ensemble Machine Learning
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    Chapter 14 Alzheimer’s Disease Classification Using Feed Forwarded Deep Neural Networks for Brain MRI Images
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    Chapter 15 Challenges and Privacy Concerns Related to Use of Information Technology in Mental Healthcare
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Title
Predictive Analytics of Psychological Disorders in Healthcare
Published by
Springer Nature Singapore, June 2022
DOI 10.1007/978-981-19-1724-0
ISBNs
978-9-81-191723-3, 978-9-81-191724-0
Editors

Mittal, Mamta, Goyal, Lalit Mohan

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