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Springer Digital Phenotyping and Mobile Sensing Book

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Description

Explore the latest advancements in Psychoinformatics with this comprehensive volume from Springer. This book provides a detailed look at how mobile sensing technologies enable digital phenotyping across multiple scientific disciplines. Written by authoritative researchers, the text covers essential applications in health, education, and cognitive science research. Readers gain access to insights regarding established methods, such as using smartphone usage patterns to predict personality or monitor mental and behavioral health. The content also examines emerging trends in the field to keep professionals and students at the forefront of technological shifts. By integrating machine learning and deep learning approaches, this work bridges the gap between mobile technology and behavioral economics. It serves as a vital resource for anyone studying the intersection of neuroscience, psychology, and computational intelligence.

Key Features

Covers diverse applications of mobile sensing within the fields of health, education, and cognitive science research.

Includes expert insights on predicting personality and mental health through smartphone usage patterns.

Examines modern machine learning and deep learning approaches applied to psychoinformatics data.

Provides a look at both established mobile sensing applications and emerging technological trends.

Authored by leading researchers to ensure high-quality information for neuroscience and psychology studies.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
13 November 2020
Listed Since
17 October 2020

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