Healthcare Data Analytics

Abstract

New advances in Information and Communication Technologies (ICT), Operations Research (OR), Artificial Intelligence (AI), and Data Mining (DM) are transforming how healthcare is delivered and managed around the world.Meanwhile, health applications are generating tremendous amounts of data, posing novel technical challenges concerning data processing, knowledge management, analytics, medical decision making, and health policy making, among others.Learning from data also attracts scientists from a large variety of areas such as Mathematics, Statistics, Computer Science, Operations Research, Engineering as well as Physics, Biology, and Medicine.The multidisciplinary approach to healthcare data analytics provides challenging problems and promotes innovative solution methodologies.The articles in this special issue highlight the role that can be played by analytical approaches and powerful solution methodologies for learning from data.These articles also point out challenging problems about data-intensive healthcare applications, which can be tackled by mathematical optimization tools.