Part I: Challenges and Basic Technologies -- Data Science in healthcare: benefits, challenges and opportunities -- Introduction to Classification Algorithms and their Performance Analysis using Medical Examples -- The role of deep learning in improving healthcare -- Part II: Specific Technologies and Applications -- Making effective use of healthcare data using data-to-text technology -- Clinical Natural Language Processing with Deep Learning -- Ontology-based Knowledge Management for Comprehensive Geriatric Assessment and Reminiscence Therapy on Social Robots -- Assistive Robots for the elderly: innovative tools to gather health relevant data -- Overview of data linkage methods for integrating separate health data sources -- A Flexible Knowledge-based Architecture For Supporting The Adoption of Healthy Lifestyles with Persuasive Dialogs -- Visual Analytics for Classifier Construction and Evaluation for Medical Data -- Data Visualization in Clinical Practice -- Using process analytics to improve healthcare processes -- A Multi-Scale Computational Approach to Understanding Cancer Metabolism -- Leveraging healthcare financial analytics for improving the health of entire populations.