The help-seeking process and predictors of mental health care use among individuals with depressive symptoms: a machine learning approach

Authors

Thomas McLaren (ORCID: https://orcid.org/0000-0001-8899-5476)
Silke Schmidt (ORCID: https://orcid.org/0000-0002-4194-1937)
Georg Schomerus (ORCID: https://orcid.org/0000-0002-6752-463X)
Samuel Tomczyk (ORCID: https://orcid.org/0000-0002-2846-5489)
Holger Muehlan (ORCID: https://orcid.org/0000-0001-8048-5682)
Vanessa Juergensen (ORCID: https://orcid.org/0000-0002-1928-378X)
Cindy Sumaly Lor (ORCID: https://orcid.org/0000-0001-7876-8632)
Lina-Jolien Peter (ORCID: https://orcid.org/0000-0002-0635-6687)
David Steyrl (ORCID: https://orcid.org/0000-0002-3215-8115)
Anh Phi Bui

Institutions

University of Vienna (AT)
University of Erfurt (DE)
Universität Greifswald (DE)
Leipzig University (DE)

Publication Details

Journal: Frontiers in Public Health
Published: 2024-11-20
DOI: https://doi.org/10.3389/fpubh.2024.1504720
Citations: 4
Primary Topic: Mental Health Treatment and Access
Type: article
Field-Weighted Citation Impact: 2.57

Funders

Deutsche Forschungsgemeinschaft

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article

The help-seeking process and predictors of mental health care use among individuals with depressive symptoms: a machine learning approach

Thomas McLaren, Silke Schmidt, Georg Schomerus, Samuel Tomczyk et al.

Nov 20, 2024

4 citations

Frontiers in Public Health

Mental Health Treatment and Access

2.57

article

The help-seeking process and predictors of mental health care use among individuals with depressive symptoms: a machine learning approach

Thomas McLaren, Silke Schmidt, Georg Schomerus, Samuel Tomczyk, Holger Muehlan, Vanessa Juergensen, Cindy Sumaly Lor, Lina-Jolien Peter, David Steyrl, Anh Phi Bui

November 20, 2024article en

4 citations

Abstract

No abstract available for this paper.

Frontiers in Public HealthVol. 12

University of Vienna (AT), University of Erfurt (DE), Universität Greifswald (DE), Leipzig University (DE)

Deutsche Forschungsgemeinschaft

Openalex Percentile: Top 10%

Mental Health Treatment and Access

2.57

DOI Open Access PDF OpenAlex

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