Machine learning and statistical methods for the prediction of maximal oxygen uptake: recent advances
Fatih Abut, Mehmet Fatih AkayDepartment of Computer Engineering, Çukurova University, Adana, TurkeyAbstract: Maximal oxygen uptake (VO2max) indicates how many milliliters of oxygen the body can consume in a state of intense exercise per minute. VO2max plays an important role in both sport...
Enregistré dans:
Auteurs principaux: | Abut F, Akay MF |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Dove Medical Press
2015
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/cc1eafa5ea1e427783d4c9263d311c8b |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Recent advances in noninvasive glucose monitoring
par: So CF, et autres
Publié: (2012) -
Medical and Health Data Classification Method Based on Machine Learning
par: Yu Zeng, et autres
Publié: (2021) -
In vivo measurements of regional hemoglobin oxygen saturation values and limb-to-arm ratios of near-infrared spectroscopy for tissue oxygenation monitoring of lower extremities in healthy subjects
par: Boezeman RP, et autres
Publié: (2014) -
A Machine-Learning-Based System for Prediction of Cardiovascular and Chronic Respiratory Diseases
par: Wajid Shah, et autres
Publié: (2021) -
Consistency and sealing of advanced bipolar tissue sealers
par: Chekan EG, et autres
Publié: (2015)