Data Imputation and Body Weight Variability Calculation Using Linear and Nonlinear Methods in Data Collected From Digital Smart Scales: Simulation and Validation Study.
| Author | |
|---|---|
| Abstract |
:
Body weight variability (BWV) is common in the general population and may act as a risk factor for obesity or diseases. The correct identification of these patterns may have prognostic or predictive value in clinical and research settings. With advancements in technology allowing for the frequent collection of body weight data from electronic smart scales, new opportunities to analyze and identify patterns in body weight data are available. |
| Year of Publication |
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2020
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| Journal |
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JMIR mHealth and uHealth
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| Volume |
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8
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| Issue |
:
9
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| Number of Pages |
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e17977
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| Date Published |
:
2020
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| URL |
:
https://mhealth.jmir.org/2020/9/e17977/
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| DOI |
:
10.2196/17977
|
| Short Title |
:
JMIR Mhealth Uhealth
|
| Download citation |
