Additional file 1: of An open-source tool to identify active travel from hip-worn accelerometer, GPS and GIS data

Procter, Duncan; Page, Angie; Cooper, Ashley; Nightingale, Claire; Ram, Bina; Rudnicka, Alicja; Whincup, Peter; Clary, Christelle; Lewis, Daniel; Cummins, Steven; Ellaway, Anne; Giles-Corti, Billie; Cook, Derek; Owen, Christopher

doi:10.6084/m9.figshare.7120532.v1

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Additional file 1: of An open-source tool to identify active travel from hip-worn accelerometer, GPS and GIS data

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posted on 2018-09-21, 05:00 authored by Duncan Procter, Angie Page, Ashley Cooper, Claire Nightingale, Bina Ram, Alicja Rudnicka, Peter Whincup, Christelle Clary, Daniel Lewis, Steven Cummins, Anne Ellaway, Billie Giles-Corti, Derek Cook, Christopher Owen

Characteristics of the training data and remainder of the cohort from ENABLE, for further detail and demographics see the baseline cohort paper (Ram et al., 2016, BMJ Open 6: e012643) (DOCX 15Â kb)

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Machine learning Xgboost Active travel Travel mode Physical activity GPS Accelerometer Gradient boosting

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Additional file 1: of An open-source tool to identify active travel from hip-worn accelerometer, GPS and GIS data

Funding

Medical Research Council

History

Usage metrics

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Keywords

Licence

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