The topics associated to the KMi publications listed in this page were automatically generated using the CSO Classifier, a solution developed by the SKM3 team in KMi. This technology has also been adopted by Springer Nature and is used routinely by them to generate automatically the metadata for all Computer Science conference proceedings they publish.
Zhao, Y., Parvinzamir, F., Wilson, S., Wei, H., Deng, Z., Portokallidis, N., Third, A., Drosatos, G., Liu, E., Dong, F., Marozas, V., Lukoševičius, A., Kaldoudi, E. and Clapworthy, G. (2017). Integrated visualisation of wearable sensor data and risk models for individualised health monitoring and risk assessment to promote patient empowerment. Journal of Visualization, 20(2), pp. 405–413. https://oro.open.ac.uk/52926/.
We use cookies to enhance your browsing experience. By clicking "Accept All Cookies," you agree to our use of cookies. You can also choose to reject non-essential cookies. Learn more.