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

Falls Prevention in the Elderly (72) mHealth for Diagnosis (63) mHealth for Wellness, Behavior Change and Prevention (2922) Mobile Health (mhealth) (2982) Usability of Apps and User Perceptions of mHealth (993)

Published on in Vol 5, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36872, first published .
App-Based Evaluation of Older People’s Fall Risk Using the mHealth App Lindera Mobility Analysis: Exploratory Study

App-Based Evaluation of Older People’s Fall Risk Using the mHealth App Lindera Mobility Analysis: Exploratory Study

App-Based Evaluation of Older People’s Fall Risk Using the mHealth App Lindera Mobility Analysis: Exploratory Study

Authors of this article:

Nicole Strutz1 Author Orcid Image ;   Hanna Brodowski2 Author Orcid Image ;   Joern Kiselev3 Author Orcid Image ;   Anika Heimann-Steinert1 Author Orcid Image ;   Ursula Müller-Werdan1 Author Orcid Image
Article Authors Cited by (3) Tweetations (6) Metrics

Journals

  1. Alves S, Temme S, Motamedi S, Kura M, Weber S, Zeichen J, Pommer W, Baumgart A. Evaluating the Prognostic and Clinical Validity of the Fall Risk Score Derived From an AI-Based mHealth App for Fall Prevention: Retrospective Real-World Data Analysis. JMIR Aging 2024;7:e55681 View

Books/Policy Documents

  1. Puppe F, Krug M, Kempf S. Digitale Innovationen in der Pflege. View
  2. Kemmler W. Artificial Intelligence in Sports, Movement, and Health. View