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Usability and Interoperability in Wireless Sensor Networks for Patient Telemonitoring in Chronic Disease Management.

, , and . IEEE Trans. Biomed. Eng., 60 (12): 3331-3339 (2013)

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Sensor-based Bayesian detection of anomalous living patterns in a home setting., , and . Personal and Ubiquitous Computing, 19 (2): 259-270 (2015)Predicting the Outcome of Patients With Subarachnoid Hemorrhage Using Machine Learning Techniques., , , , , and . IEEE Trans. Inf. Technol. Biomed., 13 (5): 794-801 (2009)Prediction of patient evolution in terms of Clinical Risk Groups form routinely collected data using machine learning., , , , and . EMBC, page 1721-1724. IEEE, (2019)Telemedicine Experience for Chronic Care in COPD., , , , , and . IEEE Trans. Inf. Technol. Biomed., 10 (3): 567-573 (2006)Interoperability of a Mobile Health Care Solution with Electronic Healthcare Record Systems., , , , and . EMBC, page 5214-5217. IEEE, (2006)A Hybrid HMM/ANN Model for Activity Recognition in the Home Using Binary Sensors., , , and . IWAAL, volume 7657 of Lecture Notes in Computer Science, page 98-105. Springer, (2012)Activity Recognition Using Hybrid Generative/Discriminative Models on Home Environments Using Binary Sensors., , and . Sensors, 13 (5): 5460-5477 (2013)Towards e-Health Device Interoperability: The Spanish Experience in the Telemedicine Research Network., , , , , and . EMBC, page 3258-3261. IEEE, (2006)Evolving activity recognition from sensor streams., , , , and . EAIS, page 96-101. IEEE, (2012)Usability and Interoperability in Wireless Sensor Networks for Patient Telemonitoring in Chronic Disease Management., , and . IEEE Trans. Biomed. Eng., 60 (12): 3331-3339 (2013)