Prediction of declining engagement to self-monitoring apps on the example of tinnitus mHealth data

Author:

Schleicher Miro1,Hamacher Sebastian2,Naujoks Mats2,Gunther Kolja2,Schmidt Timo2,Pryss Ruediger3,Schobel Johannes4,Schlee Winfried5,Spiliopoulou Myra1

Affiliation:

1. Otto-von-Guericke University Magdeburg,Knowledge Management & Discovery Lab,Magdeburg,Germany

2. Otto-von-Guericke University Magdeburg,Magdeburg,Germany

3. Institute of Clinical Epidemiology and Biometry, University of Würzburg,Würzburg,Germany

4. Institute DigiHealth, Neu-Ulm University of Applied Sciences,Ulm,Germany

5. University of Regensburg,Department of Psychiatry and Psychotherapy,Regensburg,Germany

Publisher

IEEE

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Predicting User Engagement in mHealth Apps with Neighborhood-based Approaches;2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS);2024-06-26

2. Prediction meets time series with gaps: User clusters with specific usage behavior patterns;Artificial Intelligence in Medicine;2023-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3