Precision exercise medicine: predicting unfavourable status and development in the 20-m shuttle run test performance in adolescence with machine learning
Objectives To assess the ability to predict individual unfavourable future status and development in the 20m shuttle run test (20MSRT) during adolescence with machine learning (random forest (RF) classifier).Methods Data from a 2-year observational study (2013‒2015, 12.4±1.3 years, n=633, 50% girls)...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2021-06-01
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| Series: | BMJ Open Sport & Exercise Medicine |
| Online Access: | https://bmjopensem.bmj.com/content/7/2/e001053.full |