Original Title	Supplementary Material for the Paper "Finding the Best Match - A Case Study on the (Text-)Feature and Model Choice in Digital Mental Health Interventions"
Handle	20.500.14123/1741
Kinds of Data	Context Materials / Supporting information
Resource Type	Dataset
Creator	Zantvoort, Kirsten  0000-0001-9876-054X (Institut für Wirtschaftsinformatik (IIS), Leuphana Universität Lüneburg  02w2y2t16) Scharfenberger, Jonas (Institut für Wirtschaftsinformatik (IIS), Leuphana Universität Lüneburg  02w2y2t16) Boß, Leif  0000-0001-9012-0839 (Institute of Sustainability Psychology (ISP), Leuphana Universität Lüneburg  02w2y2t16) Lehr, Dirk  0000-0002-5560-3605 (Institute of Sustainability Psychology (ISP), Leuphana Universität Lüneburg  02w2y2t16) Funk, Burkhardt  0000-0001-5855-2666 (Institut für Wirtschaftsinformatik (IIS), Leuphana Universität Lüneburg  02w2y2t16)
Description of the Dataset	This document serves as supplement for the paper "Finding the Best Match – A Case Study on the (Text-)Feature and Model Choice in Digital Mental Health Interventions". The researchers analyzed nearly 16.000 open-text answers from 849 German-speaking users in a Digital Mental Health Intervention (DMHI) for stress. The archived document represents a short overview of the data.
Methods	Summary Aggregation Description
Keywords	Maschinelles Lernen; Natural Language Processing; Digitale Gesundheit; Mentale Gesundheit; Intervention; Gesundheitsdaten; Stress; Machine Learning; Natural Language Processing; Digital Health; Mental Health; Intervention; Health Data; Stress
Thematic Classification	Digital Health
Notes	The supplementary material is available for download. Please visit the article linked below to gain access. You will find the document in the chapter "Supplementary information".
Published by	Medien- und Informationszentrum, Leuphana Universität Lüneburg
Superordinate Data Collection	× Superordinate Data Collection Close Supplementary Material PhD Kirsten Zantvoort
Related Resources	× Relations of the dataset Close Relations of the dataset