The omnipresence of sensors causes an explosive growth of data that offers the potential for a revolutionary transformation in the health care sector. As biomedical monitoring devices are becoming more widespread, continuous measurements of critical biomarkers can be collected for the purpose of screening, medical diagnosis and prediction of disease progression. The availability of this time series data makes it possible to develop new systems, such as wearables, that can extract insights from data and transform them into actionable knowledge using advanced machine learning and deep learning techniques.