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Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances
Nicholas Shawen1, Luca Lonini1,2, Chaithanya Krishna Mummidisetty1
1Max Nader Lab for Rehabilitation Technologies and Outcomes Research, Shirley Ryan AbilityLab, Chicago, IL, United States.
JMIR Mhealth and Uhealth
|December 21, 2017
Summary
This study corrects a previous article DOI. The updated information ensures accurate referencing for research in digital health and mobile health applications.
Area of Science:
- Digital health
- Mobile health applications
- Health informatics
Context:
- Accurate citation is crucial for scientific integrity.
- Previous digital health research may have had incorrect DOI linkage.
- Ensuring proper attribution is vital for academic and research communities.
Purpose:
- To correct the Digital Object Identifier (DOI) for a previously published article.
- To provide the accurate link for accessing the research.
- To maintain the integrity of scientific record-keeping.
Summary:
- The article DOI for a study published in mHealth has been corrected.
- The new DOI ensures accurate retrieval of the research article.
- This correction facilitates proper citation and access to the study.
Impact:
- Improves the accuracy of scientific literature.
- Ensures researchers can reliably access and cite the study.
- Upholds standards for digital health research publication.
