JMIR Publications Inc.
An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study (Preprint)
Publication
, Preprint
Popham, S; Burq, M; Rainaldi, EE; Shin, S; Dunn, J; Kapur, R
October 21, 2022
Duke Scholars
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APA
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Popham, S., Burq, M., Rainaldi, E. E., Shin, S., Dunn, J., & Kapur, R. (2022). An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study (Preprint). JMIR Publications Inc. https://doi.org/10.2196/preprints.43726
Popham, Sara, Maximilien Burq, Erin E. Rainaldi, Sooyoon Shin, Jessilyn Dunn, and Ritu Kapur. “An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study (Preprint).” JMIR Publications Inc., October 21, 2022. https://doi.org/10.2196/preprints.43726.
Popham S, Burq M, Rainaldi EE, Shin S, Dunn J, Kapur R. An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study (Preprint). JMIR Publications Inc. 2022.
Popham, Sara, et al. “An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study (Preprint).” JMIR Publications Inc., 21 Oct. 2022. Crossref, doi:10.2196/preprints.43726.
Popham S, Burq M, Rainaldi EE, Shin S, Dunn J, Kapur R. An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study (Preprint). JMIR Publications Inc. 2022.