Data Imputation and Body Weight Variability Calculation Using Linear and Nonlinear Methods in Data Collected From Digital Smart Scales: Simulation and Validation Study.

Jake Turicchi Ruairi O'Driscoll Graham Finlayson Cristiana Duarte Antonio L Palmeira Sofus C Larsen Berit Lilienthal Heitmann R James Stubbs

Published in: JMIR mHealth and uHealth (2020)

The decision to impute body weight data depends on the purpose of the analysis. Directions for the best performing imputation methods are provided. For the purpose of estimating BWV, data imputation should not be conducted. Linear and nonlinear methods of estimating BWV provide reasonably accurate estimates under high proportions (80%) of missing data.

Keyphrases

body weight
electronic health record
big data
machine learning
artificial intelligence
deep learning
decision making
virtual reality