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Digital Phenotyping and Mobile Sensing

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Cover of 'Digital Phenotyping and Mobile Sensing'

Table of Contents

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    Book Overview
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    Chapter 1 Privacy in Mobile Sensing
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    Chapter 2 Ethical Considerations of Digital Phenotyping from the Perspective of a Healthcare Practitioner
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    Chapter 3 Computerized Facial Emotion Expression Recognition
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    Chapter 4 An Overview on Doing Psychodiagnostics in Personality Psychology and Tracking Physical Activity via Smartphones
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    Chapter 5 Smartphones in Personal Informatics: A Framework for Self-Tracking Research with Mobile Sensing
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    Chapter 6 Digital Brain Biomarkers of Human Cognition and Mood
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    Chapter 7 Mining Facebook Data for Personality Prediction: An Overview
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    Chapter 8 Orderliness of Campus Lifestyle Predicts Academic Performance: A Case Study in Chinese University
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    Chapter 9 Latest Advances in Computational Speech Analysis for Mobile Sensing
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    Chapter 10 Passive Sensing of Affective and Cognitive Functioning in Mood Disorders by Analyzing Keystroke Kinematics and Speech Dynamics
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    Chapter 11 Studying Psychopathology in Relation to Smartphone Use
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    Chapter 12 Connecting Domains—Ecological Momentary Assessment in a Mobile Sensing Framework
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    Chapter 13 Momentary Assessment of Tinnitus—How Smart Mobile Applications Advance Our Understanding of Tinnitus
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    Chapter 14 Mobile Crowdsensing in Healthcare Scenarios: Taxonomy, Conceptual Pillars, Smart Mobile Crowdsensing Services
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    Chapter 15 mHealth Applications: Potentials, Limitations, Current Quality and Future Directions
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    Chapter 16 Using Chatbots to Support Medical and Psychological Treatment Procedures: Challenges, Opportunities, Technologies, Reference Architecture
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    Chapter 17 Persuasive E-Health Design for Behavior Change
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    Chapter 18 Optimizing mHealth Interventions with a Bandit
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Mentioned by

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36 X users
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1 Wikipedia page

Citations

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Title
Digital Phenotyping and Mobile Sensing
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-31620-4
ISBNs
978-3-03-031619-8, 978-3-03-031620-4
Editors

Harald Baumeister, Christian Montag

X Demographics

X Demographics

The data shown below were collected from the profiles of 36 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 21%
Professor 3 16%
Student > Bachelor 2 11%
Student > Doctoral Student 1 5%
Student > Postgraduate 1 5%
Other 2 11%
Unknown 6 32%
Readers by discipline Count As %
Psychology 7 37%
Computer Science 4 21%
Agricultural and Biological Sciences 1 5%
Nursing and Health Professions 1 5%
Unknown 6 32%