The recent advances in biomedicine and health sciences have led to a vast increase in the amount of structured (e.g., diagnoses, medications, laboratory results) and unstructured (e.g., scientific articles, patents, conference abstracts, health forums) data. This provides an excellent opportunity to extract useful information from these data via data mining/machine learning. However, transforming data to action gives rise to the key challenge in informatics and data science: to develop innovative methods and systems for acquisition, curation, management, processing, visualization, and interoperation of large amounts of data involved with health.

The goal of this workshop is to provide a forum for scientists and engineers in the growing community of health data science to exchange ideas and discuss the latest research developments. Papers submitted to the workshop should address the novelty and significance of the methodologies and use cases. The implications of the results and the potentially transformative nature of the proposed work should also be discussed to demonstrate how data science can effectively impact health.