Wearable Sensor Data processing and Machine Learning Pipeline design for R programmers
Support us downloading our last release
- 1 - Extract features
- 2 - Preprocess data
- 3 - Hyperparameter tuning
Please, cite these research work:
Garcia-Moreno, F.M.; Bermudez-Edo, M.; Garrido, J.L.; RodrĂguez-GarcĂa, E.; PĂ©rez-Mármol, J.M.; RodrĂguez-FĂłrtiz, M.J. "A Microservices e-Health System for Ecological Frailty Assessment Using Wearables". Sensors 2020, 20, 3427. https://doi.org/10.3390/s20123427
Garcia-Moreno, F.M.; Bermudez-Edo, M.; RodrĂguez-GarcĂa, E.; PĂ©rez-Mármol, J.M.; Garrido, J.L.; RodrĂguez-FĂłrtiz, M.J. "A machine learning approach for semi-automatic assessment of IADL dependence in older adults with wearable sensors", International Journal of Medical Informatics, Volume 157, 2022, 104625, ISSN 1386-5056. https://doi.org/10.1016/j.ijmedinf.2021.104625