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Mobile Health

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Cover of 'Mobile Health'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Part I: mHealth Applications and Tools
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    Chapter 2 StudentLife: Using Smartphones to Assess Mental Health and Academic Performance of College Students
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    Chapter 3 Circadian Computing: Sensing, Modeling, and Maintaining Biological Rhythms
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    Chapter 4 Design Lessons from a Micro-Randomized Pilot Study in Mobile Health
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    Chapter 5 The Use of Asset-Based Community Development in a Research Project Aimed at Developing mHealth Technologies for Older Adults
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    Chapter 6 Designing Mobile Health Technologies for Self-Monitoring: The Bite Counter as a Case Study
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    Chapter 7 mDebugger: Assessing and Diagnosing the Fidelity and Yield of Mobile Sensor Data
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    Chapter 8 Introduction to Part II: Sensors to mHealth Markers
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    Chapter 9 Challenges and Opportunities in Automated Detection of Eating Activity
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    Chapter 10 Detecting Eating and Smoking Behaviors Using Smartwatches
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    Chapter 11 Wearable Motion Sensing Devices and Algorithms for Precise Healthcare Diagnostics and Guidance
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    Chapter 12 Paralinguistic Analysis of Children’s Speech in Natural Environments
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    Chapter 13 Pulmonary Monitoring Using Smartphones
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    Chapter 14 Wearable Sensing of Left Ventricular Function
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    Chapter 15 A New Direction for Biosensing: RF Sensors for Monitoring Cardio-Pulmonary Function
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    Chapter 16 Wearable Optical Sensors
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    Chapter 17 Introduction to Part III: Markers to mHealth Predictors
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    Chapter 18 Exploratory Visual Analytics of Mobile Health Data: Sensemaking Challenges and Opportunities
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    Chapter 19 Learning Continuous-Time Hidden Markov Models for Event Data
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    Chapter 20 Time Series Feature Learning with Applications to Health Care
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    Chapter 21 From Markers to Interventions: The Case of Just-in-Time Stress Intervention
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    Chapter 22 Introduction to Part IV: Predictors to mHealth Interventions
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    Chapter 23 Modeling Opportunities in mHealth Cyber-Physical Systems
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    Chapter 24 Control Systems Engineering for Optimizing Behavioral mHealth Interventions
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    Chapter 25 From Ads to Interventions: Contextual Bandits in Mobile Health
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    Chapter 26 Towards Health Recommendation Systems: An Approach for Providing Automated Personalized Health Feedback from Mobile Data
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