Ruairi O'Driscoll
0000-0003-3995-0073
9 papers found
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Comparison of the Validity and Generalizability of Machine Learning Algorithms for the Prediction of Energy Expenditure: Validation Study
Author Correction: Postprandial glycaemic dips predict appetite and energy intake in healthy individuals
Postprandial glycaemic dips predict appetite and energy intake in healthy individuals
Data Imputation and Body Weight Variability Calculation Using Linear and Nonlinear Methods in Data Collected From Digital Smart Scales: Simulation and Validation Study
Consistent sleep onset and maintenance of body weight after weight loss: An analysis of data from the NoHoW trial
A novel scaling methodology to reduce the biases associated with missing data from commercial activity monitors
Improving energy expenditure estimates from wearable devices: A machine learning approach
Associations between the rate, amount, and composition of weight loss as predictors of spontaneous weight regain in adults achieving clinically significant weight loss: A systematic review and meta‐regression
How well do activity monitors estimate energy expenditure? A systematic review and meta-analysis of the validity of current technologies
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