Author :
Hui Yang ; Kundakcioglu, Erhun ; Jing Li ; Wu, Tsai-Fu ; Mitchell, J. Ross ; Hara, Amy K. ; Pavlicek, William ; Hu, Leland S. ; Silva, Abraham Castellanos ; Zwart, Christine M. ; Tunc, Sait ; Alagoz, Oguzhan ; Burnside, Elizabeth ; Chaovalitwongse, Wanpra
Abstract :
Exceptional opportunities exist for researchers and practitioners to invest in conducting innovative and transformative research in data mining and health informatics. This IEEE Intelligent Systems "Trends and Controversies" (T&C) department hopes to raise awareness and highlight recent research to move toward such goals. The introduction, "Healthcare Intelligence: Turning Data into Knowledge," is written by Hui Yang and Erhun Kundakcioglu. Next, "Empowering Excellence of Care by Radiology Informatics" is written by Jing Li, Teresa Wu, J. Ross Mitchell, Amy K. Hara, William Pavlicek, Leland S. Hu, Alvin C. Silva, and Christine M. Zwart. Third, "Opportunities for Operations Research in Medical Decision Making" is written by Sait Tunc, Oguzhan Alagoz, and Elizabeth Burnside. Fourth, "Diagnostic Network Modeling of Neural Connectivity Using Functional Magnetic Resonance Imaging" is written by W. Art Chaovalitwongse, Georgiy Presnyakov, Yulian Cao, Sirirat Sujitnapitsatham, Daehan Won, Tara Madhyastha, Kurt E. Weaver, Paul R. Borghesani, and Thomas J. Grabowski. The final article, "Spatial Clustering in Public Health: Advances and Challenges," is written by Lianjie Shu, Man Ho Ling, Shui-Yee Wong, and Kwok-Leung Tsui.
Keywords :
data mining; medical information systems; IEEE intelligent systems; data mining; diagnostic network modeling; functional magnetic resonance imaging; health informatics; healthcare intelligence; medical decision making; neural connectivity; operations research; public health; radiology informatics; spatial clustering; transformative research; trends and controversies department; Big data; Bioinformatics; Informatics; Knowledge management; Medical diagnostic imaging; Medical services; Radiology; Big Data; bioinformatics; data mining; health IT; health informatics; healthcare intelligence; intelligent systems;
