A web-based app to provide personalized recommendations for COVID-19
Nat Med
.
2022 Jun;28(6):1105-1106.
doi: 10.1038/s41591-022-01797-0.
Authors
Alexander H Thieme
1
2
3
,
Maximilian Gertler
4
,
Mirja Mittermaier
5
6
,
Matthias I Gröschel
7
,
Jonathan H Chen
8
,
Brar Piening
9
,
Justus Benzler
10
,
Daniel Habenicht
11
,
Volker Budach
5
,
Olivier Gevaert
12
Affiliations
1
Department of Medicine and Biomedical Data Science, Stanford University, Stanford, CA, USA. thieme@stanford.edu.
2
Department of Radiation Oncology, Charité-Universitätsmedizin Berlin, Berlin, Germany. thieme@stanford.edu.
3
Berlin Institute of Health (BIH), Berlin, Germany. thieme@stanford.edu.
4
Institute of Tropical Medicine and International Health, Charité-Universitätsmedizin Berlin, Berlin, Germany.
5
Department of Radiation Oncology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
6
Department of Infectious Diseases and Respiratory Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.
7
Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
8
Stanford Center for Biomedical Informatics Research and Division of Hospital Medicine, Stanford University, Stanford, CA, USA.
9
Institute of Hygiene and Environmental Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.
10
Robert Koch Institut, Berlin, Germany.
11
Technical University Berlin, Berlin, Germany.
12
Department of Medicine and Biomedical Data Science, Stanford University, Stanford, CA, USA.
PMID:
35534571
DOI:
10.1038/s41591-022-01797-0
No abstract available
Publication types
Letter
Research Support, Non-U.S. Gov't
MeSH terms
COVID-19*
Health Promotion
Humans
Internet
Mobile Applications*