A Short Review on the Machine Learning-Guided Oxygen Uptake Prediction for Sport Science Applications
In recent years, the rapid improvement in computing facilities combined with that achieved in algorithms and the immense amount of available data led to a great interest in machine learning (ML), which is a subset of artificial intelligence. Nowadays, the ML technique is used mostly in all applicati...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/10/16/1956 |
| _version_ | 1797524112366632960 |
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| author | Haneen Alzamer Tamer Abuhmed Kotiba Hamad |
| author_facet | Haneen Alzamer Tamer Abuhmed Kotiba Hamad |
| author_sort | Haneen Alzamer |
| collection | DOAJ |
| description | In recent years, the rapid improvement in computing facilities combined with that achieved in algorithms and the immense amount of available data led to a great interest in machine learning (ML), which is a subset of artificial intelligence. Nowadays, the ML technique is used mostly in all applications for various purposes, whereby ML will be possible to learn from data, predict, identify patterns, and make decisions. In this regard, the ML was successfully used to predict the oxygen uptake during physical activity without the need for complicated procedures used in the direct measurement. Accordingly, in the present work, the state-of-art and recent advances related to the oxygen uptake prediction using ML were presented. Various exercise and non-exercise predictive models also were discussed. |
| first_indexed | 2024-03-10T08:52:42Z |
| format | Article |
| id | doaj.art-7a6158ad187948a7a281ef37d7e4cc2f |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T08:52:42Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-7a6158ad187948a7a281ef37d7e4cc2f2023-11-22T07:25:03ZengMDPI AGElectronics2079-92922021-08-011016195610.3390/electronics10161956A Short Review on the Machine Learning-Guided Oxygen Uptake Prediction for Sport Science ApplicationsHaneen Alzamer0Tamer Abuhmed1Kotiba Hamad2Collage of Physical Education and Sport Science, Yarmouk University, Irbid 21110, Jordan College of Computing and Informatics, Sungkyunkwan University, Suwon 16419, KoreaSchool of Advanced Materials Science & Engineering, Sungkyunkwan University, Suwon 16419, KoreaIn recent years, the rapid improvement in computing facilities combined with that achieved in algorithms and the immense amount of available data led to a great interest in machine learning (ML), which is a subset of artificial intelligence. Nowadays, the ML technique is used mostly in all applications for various purposes, whereby ML will be possible to learn from data, predict, identify patterns, and make decisions. In this regard, the ML was successfully used to predict the oxygen uptake during physical activity without the need for complicated procedures used in the direct measurement. Accordingly, in the present work, the state-of-art and recent advances related to the oxygen uptake prediction using ML were presented. Various exercise and non-exercise predictive models also were discussed.https://www.mdpi.com/2079-9292/10/16/1956sport scienceoxygen uptakegraded exercise testmachine learningfeature selection |
| spellingShingle | Haneen Alzamer Tamer Abuhmed Kotiba Hamad A Short Review on the Machine Learning-Guided Oxygen Uptake Prediction for Sport Science Applications Electronics sport science oxygen uptake graded exercise test machine learning feature selection |
| title | A Short Review on the Machine Learning-Guided Oxygen Uptake Prediction for Sport Science Applications |
| title_full | A Short Review on the Machine Learning-Guided Oxygen Uptake Prediction for Sport Science Applications |
| title_fullStr | A Short Review on the Machine Learning-Guided Oxygen Uptake Prediction for Sport Science Applications |
| title_full_unstemmed | A Short Review on the Machine Learning-Guided Oxygen Uptake Prediction for Sport Science Applications |
| title_short | A Short Review on the Machine Learning-Guided Oxygen Uptake Prediction for Sport Science Applications |
| title_sort | short review on the machine learning guided oxygen uptake prediction for sport science applications |
| topic | sport science oxygen uptake graded exercise test machine learning feature selection |
| url | https://www.mdpi.com/2079-9292/10/16/1956 |
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