This paper is in the following e-collection/theme issue:

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (918) mHealth for Data Collection and Research (1086) Machine Learning (1747) Ecological Momentary Assessment (EMA) (352) Mobile Health (mhealth) (3164) Wearable Devices and Sensors (1001)

Published on in Vol 24, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34015, first published .
Using Smartphone Sensor Paradata and Personalized Machine Learning Models to Infer Participants’ Well-being: Ecological Momentary Assessment

Using Smartphone Sensor Paradata and Personalized Machine Learning Models to Infer Participants’ Well-being: Ecological Momentary Assessment

Using Smartphone Sensor Paradata and Personalized Machine Learning Models to Infer Participants’ Well-being: Ecological Momentary Assessment

Authors of this article:

Alexander Hart1 Author Orcid Image ;   Dorota Reis1 Author Orcid Image ;   Elisabeth Prestele2 Author Orcid Image ;   Nicholas C Jacobson3 Author Orcid Image
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New in JMIR: Using #Smartphone #mHealth Sensor Paradata and Personalized Machine Learning Models to Infer Participa… https://t.co/3NChvk5LLP

2:36 PM · Apr 28, 2022

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Journal of Medical Internet Research Journal of Medical Internet Research @JMIR_

RT @jmirpub: New in JMIR: Using #Smartphone #mHealth Sensor Paradata and Personalized Machine Learning Models to Infer Participants’ Well-b…

2:36 PM · Apr 28, 2022

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CareMo CareMo @caring_mobile

RT @jmirpub: New in JMIR: Using #Smartphone #mHealth Sensor Paradata and Personalized Machine Learning Models to Infer Participants’ Well-b…

2:37 PM · Apr 28, 2022

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Center for Technology and Behavioral Health Center for Technology and Behavioral Health @DartmouthCTBH

RT @jmirpub: New in JMIR: Using #Smartphone #mHealth Sensor Paradata and Personalized Machine Learning Models to Infer Participants’ Well-b…

12:19 PM · Apr 29, 2022

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Amanda L. McGowan Amanda L. McGowan @amandamcgow

Personalized machine learning models and temporally linked passive sensing data have the capability to infer a siza… https://t.co/BqXHCaUXtU

1:14 PM · May 02, 2022

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