Data Science for Healthcare (PDF)

Sergio Consoli is a Senior Scientist within the Data Science department at Philips Research, Eindhoven, focusing on advancing automated analytical methods used to extract new knowledge from data for health-tech applications. Sergio's education and scientific experience fall in the areas of data science, operations research, artificial intelligence, knowledge engineering, machine learning, and disasters management. He is author of several research publications in peer-reviewed international journals, edited books, and leading conferences in the fields of his work.
Diego Reforgiato Recupero is Associate Professor at the Department of Mathematics and Computer Science of the University of Cagliari, Italy. His interests span from Semantic Web, graph theory and smart grid optimization to sentiment analysis, data mining, big data, machine and deep learning and natural language processing. He is also affiliated within the ISTC institute at the National Research Council (CNR) and co-founder of six ICT companies two of which are university spin-offs. He is author of more than 90 journal, conference papers and book chapters in his research domains.
Milan Petkovic is the head of the Data Science department in Philips Research which conducts innovation projects for Philips in the domain of data analytics, advanced data management and security. He is also a part-time full professor at the Eindhoven University of Technology. Among his research interests are data science, big data analytics, information security and privacy protection. Milan is also a vice president of the Big Data Value Association, which supports big data public private partnership. He has published more than 50 journal and conference papers as well as several books including a book on "Security, Privacy and Trust in Modern Data Management".