INPHOVIS: Interactive visual analytics for smartphone-based digital phenotyping

INPHOVIS: Interactive visual analytics for smartphone-based digital phenotyping

Digital phenotyping is the characterization of human behavior patterns based on data from digital devices such as smartphones in order to gain insights into the users’ state and especially to identify ailments. To support supervised machine learning, digital phenotyping requires gathering data from...

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Bibliographic Details
Main Authors: Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke Rundensteiner, Angela Incollingo Rodriguez
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Visual Informatics
Subjects:
Interactive visual analytics
Smartphone-sensed data
Digital phenotyping
Online Access:http://www.sciencedirect.com/science/article/pii/S2468502X23000025

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http://www.sciencedirect.com/science/article/pii/S2468502X23000025

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