Train_Files
From the group of selected participant recordings (n=400), 200 were randomly allocated to the development (train) group using the random sampling function in R. The development group was used to optimize DT algorithm parameters values (block length, threshold, bedrest-start trigger, and bedrest-end...
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Format: | Dataset |
Sprache: | eng |
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Zusammenfassung: | From the group of selected participant recordings (n=400), 200 were randomly allocated to the development (train) group using the random sampling function in R. The development group was used to optimize DT algorithm parameters values (block length, threshold, bedrest-start trigger, and bedrest-end trigger). |
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DOI: | 10.6084/m9.figshare.12904124 |