Data Imputation and Body Weight Variability Calculation Using Linear and Nonlinear Methods in Data Collected From Digital Smart Scales: Simulation and Validation Study
BackgroundBody 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 f...
Saved in:
Main Authors: | Turicchi, Jake (Author), O'Driscoll, Ruairi (Author), Finlayson, Graham (Author), Duarte, Cristiana (Author), Palmeira, A L (Author), Larsen, Sofus C (Author), Heitmann, Berit L (Author), Stubbs, R James (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2020-09-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparison of the Validity and Generalizability of Machine Learning Algorithms for the Prediction of Energy Expenditure: Validation Study
by: Ruairi O'Driscoll, et al.
Published: (2021) -
Evaluation of the Immediate Effects of Web-Based Intervention Modules for Goals, Planning, and Coping Planning on Physical Activity: Secondary Analysis of a Randomized Controlled Trial on Weight Loss Maintenance
by: Elina Mattila, et al.
Published: (2022) -
Users' Experiences With the NoHoW Web-Based Toolkit With Weight and Activity Tracking in Weight Loss Maintenance: Long-term Randomized Controlled Trial
by: Elina Mattila, et al.
Published: (2022) -
Evaluation of machine learning methods for covariate data imputation in pharmacometrics
by: Dominic Stefan Bräm, et al.
Published: (2022) -
Addressing health disparities using multiply imputed injury surveillance data
by: Yang Liu, et al.
Published: (2023)