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Daniel A. Adler · Study

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Daniel A. Adler

11 works· latest 2024· 2 institutionscluster: provisionalORCID 0000-0003-3328-0312

h-index7

i107

Citations271

Works here11

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Most cited in this library

Machine learning for passive mental health symptom prediction: Generalization across different longitudinal mobile sensing studies2022 · 75 citations
Identifying Mobile Sensing Indicators of Stress-Resilience2021 · 49 citations
Measuring algorithmic bias to analyze the reliability of AI tools that predict depression risk using smartphone sensed-behavioral data2024 · 40 citations
Digital Prompts to Increase Engagement With the Headspace App and for Stress Regulation Among Parents: Feasibility Study2021 · 38 citations
A call for open data to develop mental health digital biomarkers2022 · 23 citations

Works

11 shown

Beyond Detection: Towards Actionable Sensing Research in Clinical Mental Healthcare

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies·2024·11 authors·Open access

18citations

Ubiquitous Computing in Action: Infrastructure to Support Sensing and Mental Health Research in Practice

ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)·2024·2 authors·other

1citations

AI for Defence: Readiness, Resilience and Mental Health

The RUSI Journal·2024·7 authors·Open access

3citations

Exploring Opportunities to Augment Psychotherapy with Language Models

CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)·2024·5 authors·other

5citations

Measuring algorithmic bias to analyze the reliability of AI tools that predict depression risk using smartphone sensed-behavioral data

npj Mental Health Research·2024·8 authors·Open access

40citations

8th International Workshop on Mental Health and Well-being: Sensing and Intervention

ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)·2023·18 authors·other·Open access

2citations

Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview Study

JMIR Formative Research·2023·5 authors·Open access

17citations

Machine learning for passive mental health symptom prediction: Generalization across different longitudinal mobile sensing studies

PLoS ONE·2022·4 authors·Open access

75citations

A call for open data to develop mental health digital biomarkers

BJPsych Open·2022·5 authors·editorial·Open access

23citations

Digital Prompts to Increase Engagement With the Headspace App and for Stress Regulation Among Parents: Feasibility Study

JMIR Formative Research·2021·5 authors·Open access

38citations

Identifying Mobile Sensing Indicators of Stress-Resilience

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies·2021·6 authors·Open access

49citations