Yannik Terhorst

Yannik Terhorst

Universität Ulm

H-index: 22

Europe-Germany

About Yannik Terhorst

Yannik Terhorst, With an exceptional h-index of 22 and a recent h-index of 22 (since 2020), a distinguished researcher at Universität Ulm, specializes in the field of eHealth | mHealth | research methods | artificial intelligence | digital phenotyping | smart sensing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Passive Sensing of Psychosis Spectrum Disorders–A Systematic Review and Meta-Analysis–DAMOS-PSY

Performance of Machine Learning Regression Models for Predicting Depression Using Smartphone and Wearable Data: A Systematic Review and Meta-Analysis–DAMOS-DEP2

Sensor-Based Classification Algorithms for Early Detection and Differentiation of Depression and Depressive Disorders: A systematic review and meta-analysis–DAMOS-DEP1

Enhancing the acceptance of smart sensing in psychotherapy patients: findings from a randomized controlled trial

A machine learning-based prediction of treatment outcomes following digital cognitive behavioral therapy for suicidal ideation using individual participant data from randomized …

Classification accuracy of machine learning models for anxiety disorders using mobile sensor data: A systematic Review and meta-analysis–DAMOS-ANX

Passive Sensing of Mania in Bipolar Disorder I–A Systematic Review and Meta-Analysis–DAMOS-BP

Help for insomnia from the app store? A standardized rating of mobile health applications claiming to target insomnia

Yannik Terhorst Information

University

Position

___

Citations(all)

1575

Citations(since 2020)

1563

Cited By

139

hIndex(all)

22

hIndex(since 2020)

22

i10Index(all)

36

i10Index(since 2020)

36

Email

University Profile Page

Universität Ulm

Google Scholar

View Google Scholar Profile

Yannik Terhorst Skills & Research Interests

eHealth | mHealth | research methods | artificial intelligence | digital phenotyping | smart sensing

Top articles of Yannik Terhorst

Title

Journal

Author(s)

Publication Date

Passive Sensing of Psychosis Spectrum Disorders–A Systematic Review and Meta-Analysis–DAMOS-PSY

Lena Steubl

Patricia Garatva

Yannik Terhorst

Harald Baumeister

2024/2/15

Performance of Machine Learning Regression Models for Predicting Depression Using Smartphone and Wearable Data: A Systematic Review and Meta-Analysis–DAMOS-DEP2

Nadine Weilbacher

Patricia Garatva

Harald Baumeister

Yannik Terhorst

2024/2/15

Sensor-Based Classification Algorithms for Early Detection and Differentiation of Depression and Depressive Disorders: A systematic review and meta-analysis–DAMOS-DEP1

Patricia Garatva

Yannik Terhorst

Harald Baumeister

2024/2/13

Enhancing the acceptance of smart sensing in psychotherapy patients: findings from a randomized controlled trial

Frontiers in Digital Health

Fabian Rottstädt

Eduard Becker

Gabriele Wilz

Ilona Croy

Harald Baumeister

...

2024/4/18

A machine learning-based prediction of treatment outcomes following digital cognitive behavioral therapy for suicidal ideation using individual participant data from randomized …

Jael Behrendt

Johannes Massell

Yannik Terhorst

Rebekka Büscher

Lasse Sander

2024/1/16

Classification accuracy of machine learning models for anxiety disorders using mobile sensor data: A systematic Review and meta-analysis–DAMOS-ANX

Patricia Garatva

Alina Judex

Harald Baumeister

Yannik Terhorst

2024/2/15

Passive Sensing of Mania in Bipolar Disorder I–A Systematic Review and Meta-Analysis–DAMOS-BP

Lena Steubl

Patricia Garatva

Yannik Terhorst

Harald Baumeister

2024/2/15

Help for insomnia from the app store? A standardized rating of mobile health applications claiming to target insomnia

Journal of Sleep Research

Laura Simon

Josephin Reimann

Lena Sophia Steubl

Michael Stach

Kai Spiegelhalder

...

2023/2

StudiCare procrastination-Randomized controlled non-inferiority trial of a persuasive design-optimized internet-and mobile-based intervention with digital coach targeting …

BMC psychology

Agnes Mutter

A-M Küchler

Abdul Rahman Idrees

Fanny Kählke

Yannik Terhorst

...

2023/9/12

How to e-mental health: a guideline for researchers and practitioners using digital technology in the context of mental health

Caroline Seiferth

Lea Vogel

Benjamin Aas

Isabel Brandhorst

Per Carlbring

...

2023/8

Digitale Phänotypisierung und künstliche Intelligenz

Mathias Harrer

Yannik Terhorst

Harald Baumeister

David Daniel Ebert

2023

Mechanisms of change in digital cognitive behavioral therapy for depression in patients with chronic back pain: A mediation analysis of a multicenter randomized clinical trial

Behaviour Research and Therapy

Arne G Lutsch

Harald Baumeister

Sarah Paganini

Lasse B Sander

Yannik Terhorst

...

2023/9/1

Mediators of digital depression prevention in patients with chronic back pain: Findings from a multicenter randomized clinical trial.

Journal of Consulting and Clinical Psychology

Matthias Domhardt

Arne Lutsch

Lasse B Sander

Sarah Paganini

Kerstin Spanhel

...

2023/8

Acceptance of smart sensing: a barrier to implementation—results from a randomized controlled trial

Frontiers in digital health

Yannik Terhorst

Nadine Weilbacher

Carolin Suda

Laura Simon

Eva-Maria Messner

...

2023/7/13

Predicting heterogeneous treatment effects of an Internet-based depression intervention for patients with chronic back pain: Secondary analysis of two randomized controlled trials

Internet interventions

Mathias Harrer

David Daniel Ebert

Paula Kuper

Sarah Paganini

Sandra Schlicker

...

2023/9/1

Integrating Smart Sensing into Medical Rehabilitation: An Exploratory Observation Study of Associations Between Digital Markers and Mental Health.

Johannes Knauer

Paula Philippi

Tran Bao Dat Nguyen

Selina Kallinger

Alexandra Portenhauser

...

2023/6/27

Stress management apps: systematic search and multidimensional assessment of quality and characteristics

Sarah Paganini

Evelyn Meier

Yannik Terhorst

Ramona Wurst

Vivien Hohberg

...

2023/8/29

Moderators and mediators of change of an internet-based mindfulness intervention for college students: secondary analysis from a randomized controlled trial

Frontiers in Digital Health

Ann-Marie Küchler

Fanny Kählke

Leandra Bantleon

Yannik Terhorst

David Daniel Ebert

...

2023/6/27

Translation and short scale development of the HIRA, a rating scale assessing the quality of health information websites

Leonie Kott

Alina Bader

Yannik Terhorst

Harald Baumeister

2023/10/22

Optimizing the predictive power of depression screenings using machine learning

Digital Health

Yannik Terhorst

Lasse B Sander

David D Ebert

Harald Baumeister

2023/8

See List of Professors in Yannik Terhorst University(Universität Ulm)