This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific topics covered in the contributed chapters include predictive mining, decision support, capacity management, patient flow optimization, image compression, data clustering, and feature selection.

The roles of artificial intelligence (AI) and data mining in libraries are expanding globally and transforming knowledge management in access, discovery, and research. The session was sponsored by the Knowledge Management and Information Technology sections with the Big Data special interest group. Frank Cervone, director of information technology for the University of Illinois at Chicago's School of Public Health, kicked off the program by asking, "Is AI real?" AI has been actively embedded in public and personal spaces, but Cervone cautioned that the visions and realities of AI are inconsistent and problematic, particularly on ethics and regulations. He covered important concepts and processes of data and text mining, machine learning, and how they have affected research and access in many fields. Cervone concluded by exclaiming what AI is not doing and argued that we need to be moving with it.