All Outputs (2)

Assessing machine learning algorithms for self-management of asthma (2017)
Conference Proceeding
Kocsis, O., Arvanitis, G., Lalos, A., Moustakas, K., Sont, J. K., Honkoop, P. J., …Simpson, A. (2017). Assessing machine learning algorithms for self-management of asthma. In 2017 E-Health and Bioengineering Conference (EHB) (571-574). https://doi.org/10.1109/EHB.2017.7995488

© 2017 IEEE. Control and monitoring of asthma progress is highly important for patient's quality of life and healthcare management. Emerging tools for self-management of various chronic diseases have the potential to support personalized patient guid... Read More about Assessing machine learning algorithms for self-management of asthma.

Effectiveness of a six-week high-intensity interval training programme on cardiometabolic markers in sedentary males (2014)
Conference Proceeding
Gleadall-Siddall, D., Burke, R., Gritt, J., O'Carroll, G., Bray, J., Ingle, L., & Garrett, A. (2014). Effectiveness of a six-week high-intensity interval training programme on cardiometabolic markers in sedentary males. . https://doi.org/10.1080/02640414.2014.968390

High-intensity interval training (HIT) has been proposed as an effective, time efficient strategy to elicit similar cardiometabolic health benefits as traditional moderate-intensity endurance training. This is an important consideration as "lack of t... Read More about Effectiveness of a six-week high-intensity interval training programme on cardiometabolic markers in sedentary males.