This paper is in the following e-collection/theme issue:

Machine Learning (1400) Artificial Intelligence (1214) Mobile Health (mhealth) (2777) Public (e)Health, Digital Epidemiology and Public Health Informatics (646) Chronic Conditions (219) Falls and Emergency Detection with Sensors and other Technologies (28) Clinical Information and Decision Making (1339)

Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25121, first published .
Predictive Modeling of 30-Day Emergency Hospital Transport of German Patients Using a Personal Emergency Response: Retrospective Study and Comparison with the United States

Predictive Modeling of 30-Day Emergency Hospital Transport of German Patients Using a Personal Emergency Response: Retrospective Study and Comparison with the United States

Predictive Modeling of 30-Day Emergency Hospital Transport of German Patients Using a Personal Emergency Response: Retrospective Study and Comparison with the United States

Authors of this article:

Jorn op den Buijs1 Author Orcid Image ;   Marten Pijl1 Author Orcid Image ;   Andreas Landgraf2 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Jorn op den Buijs   1 , MSc, PhD ;   Marten Pijl   1 , PhD ;   Andreas Landgraf   2 , PhD

1 Philips Research, Eindhoven, Netherlands

2 Philips DACH, Hamburg, Germany

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