Article

Quantifying the Uncertainty of Human Activity Recognition Using a Bayesian Machine Learning Method: A Prediction Study

2023-08-22

Abstract excerpt

<h4>Background</h4> Machine learning methods accurately predict physical activity outcomes using accelerometer data generated by wearable devices, thus allowing the investigation of the impact of built environment on population physical activity. While traditional machine learning methods do not provide prediction uncertainty, a new method, Bayesian Additive Regression Trees (BART) can quantify such uncertainty as...

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Literature Corpus work: 6d839e1f-d7ad-5417-b5d3-022cc87b3477
DOI: 10.1101/2023.08.16.23294126

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