Mobile, IOT and wearable technologies technologies allow transparent, remote and unobtrusive monitoring of health conditions and are changing the landscape of healthcare, wellness applications and modern personalized precision medicine. The increasing availability of health data, including patient medical records also obtained by wearable sensors, medical imaging, health insurance claims, surveillance, together with the rapid progress of machine learning algorithms and analysis techniques, are gradually enabling doctors for better diagnosis, improve disease surveillance, facilitating early disease detection, uncovering novel treatments and drug-interaction, detect false alarms and over-diagnosis, and creating an era of truly personalized medicine.
A great challenge is build better modeling tools for integrating human expertise and machine learning techniques to exploit big data in healthcare, and formulate hypothesis about how the human organisms act in heath and illness. Some examples of techniques that are gaining attention in this domain include deep learning, domain adaptation, semi-supervised approach, time series analysis, active learning.

Even though the use of machine learning and the development of ad-hoc techniques are gaining increasing popularity in the health domain, we can witness that a significant lack of interaction between domain experts and machine learning researchers still exists. The workshop provides a venue for the community to promote collaborations and present and exchanges ideas, practices and advances specific to mobile and pervasive sensing in the particularly challenging area of health. The goal is to bring people in the field cross-cutting information management and medical informatics to discuss innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral, environmental, data from social media and the Web, monitoring of fragile, disabled and elderly people.
The workshop solicits empirical, experimental, methodological, and theoretical research reporting original and unpublished results on topics in the realm of healthcare and health informatics along with applications to real life situations. This can mean new models, new datasets, new algorithms, or new applications.