Editorial: Quantitative modeling of psychopathology using passively collected data

Nicholas C. Jacobson; Burkhardt Funk; Saeed Abdullah

doi:10.3389/fpsyg.2022.1126971

Editorial: Quantitative modeling of psychopathology using passively collected data

Nicholas C. Jacobson^*
, Burkhardt Funk
, Saeed Abdullah

^*Corresponding author for this work

Professorship of Information Systems, in particular Data Science

Research output: Journal contributions › Other (editorial matter etc.) › Research

1 Citation (Scopus)

Original language	English
Article number	1126971
Journal	Frontiers in Psychology
Volume	13
Number of pages	2
ISSN	1664-1078
DOIs	https://doi.org/10.3389/fpsyg.2022.1126971
Publication status	Published - 24.01.2023

Bibliographical note

Funding Information:
This work was funded by the National Institute of Mental Health and the National Institute of General Medical Sciences under grant 1 R01 MH123482-01.

Research areas and keywords

digital biomarker
digital phenotyping
machine learning
mobile sensing
passive sensing
Business informatics

ASJC Scopus Subject Areas

Psychology(all)

Access to Document

10.3389/fpsyg.2022.1126971Licence: CC BY

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Cite this

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title = "Editorial: Quantitative modeling of psychopathology using passively collected data",

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author = "Jacobson, \{Nicholas C.\} and Burkhardt Funk and Saeed Abdullah",

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year = "2023",

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AU - Jacobson, Nicholas C.

AU - Funk, Burkhardt

AU - Abdullah, Saeed

N1 - Funding Information: This work was funded by the National Institute of Mental Health and the National Institute of General Medical Sciences under grant 1 R01 MH123482-01.

PY - 2023/1/24

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KW - digital biomarker

KW - digital phenotyping

KW - machine learning

KW - mobile sensing

KW - passive sensing

KW - Business informatics

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DO - 10.3389/fpsyg.2022.1126971

M3 - Other (editorial matter etc.)

C2 - 36760896

AN - SCOPUS:85147555866

SN - 1664-1078

VL - 13

JO - Frontiers in Psychology

JF - Frontiers in Psychology

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