Smartphone accelerometer data as a proxy for clinical data in modeling of bipolar disorder symptom trajectory
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2398-6352
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Smartphone accelerometer data as a proxy for clinical data in modeling of bipolar disorder symptom trajectory ; volume:5 ; number:1 ; day:14 ; month:12 ; year:2022 ; pages:1-10 ; date:12.2022
npj digital medicine ; 5, Heft 1 (14.12.2022), 1-10, 12.2022
- Creator
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Bennett, Casey C.
Ross, Mindy K.
Baek, EuGene
Kim, Dohyeon
Leow, Alex D.
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41746-022-00741-3
- URN
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urn:nbn:de:101:1-2023022321023431277743
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 11:01 AM CEST
Data provider
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Associated
- Bennett, Casey C.
- Ross, Mindy K.
- Baek, EuGene
- Kim, Dohyeon
- Leow, Alex D.
- SpringerLink (Online service)
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Robust visualization of trajectory data
Big data for bipolar disorder
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Statistical modeling of physical activity based on accelerometer data
Improving Low Earth Orbit (LEO) prediction with accelerometer data
Trajectory-Based Analysis of Flow Simulation Data
BIG TRAJECTORY DATA: A DISTRIBUTED COMPUTING PERSPECTIVE
An information-aware visualization for privacy-preserving accelerometer data sharing
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A framework for handling missing accelerometer outcome data in trials