Robotics & Machine Learning Daily News2024,Issue(Jul.17) :15-16.

Technical University Dortmund (TU Dortmund) Reports Findings in Machine Learning (Machine learning predicts peak oxygen uptake and peak power output for customi zing cardiopulmonary exercise testing using non-exercise features)

Robotics & Machine Learning Daily News2024,Issue(Jul.17) :15-16.

Technical University Dortmund (TU Dortmund) Reports Findings in Machine Learning (Machine learning predicts peak oxygen uptake and peak power output for customi zing cardiopulmonary exercise testing using non-exercise features)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Dortmund, Ge rmany, by NewsRx correspondents, research stated, “Cardiopulmonaryexercise test ing (CPET) is considered the gold standard for assessing cardiorespiratory fitne ss. Toensure consistent performance of each test, it is necessary to adapt the power increase of the test protocolto the physical characteristics of each indi vidual.”

Key words

Dortmund/Germany/Europe/Chalcogens/C yborgs/Diagnosis/Diagnostic Techniques and Procedures/Emerging Technologies/Exercise Test/Health and Medicine/Heart Function Tests/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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