Predicting Patient-Based Time-Dependent Mobile Health Data-Reference-Cited by-同舟云学术

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Predicting Patient-Based Time-Dependent Mobile Health Data

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)
language:
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Author:

Kleinau Anna¹,Flügel Simon¹,Pryss Rüdiger²,Vogel Carsten²,Engelke Milena³,Schlee Winfried³,Unnikrishnan Vishnu¹,Spiliopoulou Myra¹

Affiliation:

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

2. Institute for Clinical Epidemiology and Biometry, University of Würzburg,Würzburg,Germany

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10178426/10178704/10178791.pdf?arnumber=10178791

Reference17 articles.

1. Locally adaptive dimensionality reduction for indexing large time series databases

2. Adaptive semi-supervised recursive tree partitioning: The ART towards large scale patient indexing in personalized healthcare

3. Using ehrs for heart failure therapy recommendation using multidimensional patient similarity analytics;panahiazar;Studies in Health Technology and Informatics,2015

4. Pilot study of a smartphone-based tinnitus therapy using structured counseling and sound therapy: A multiple-baseline design with ecological momentary assessment

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