DMH 2013 - International Workshop on Data Mining for Healthcare

The potential of data mining on leading to advanced healthcare management has been well recognized in industry as well as academia. Discovering patterns and trends from large amounts of complex data generated by healthcare transactions to aid diagnosis, decisions and care delivery has been of great interest. Data mining enhances several aspects of healthcare management including disease diagnosis, clinical decision-making, medical fraud prevention and detection, fault detection of medical devices, healthcare quality improvement strategies and privacy. Data mining also helps to discover interesting business insights to help make business decisions that can influence cost efficiency without affecting the quality of care. Natural language processing techniques greatly enable achieving meaningful use of electronic health records, and integrating and formalizing several critical health resources and clinical guidelines available on the Web. An increasing variety of important data mining applications to healthcare strongly suggest the need for a workshop that provides a common platform to discuss longstanding problems, discover new problems, and brainstorm potential solutions associated with large complex healthcare datasets. The Data Mining for Healthcare (DMH) workshop will provide a critical and essential forum for integrating various research challenges in this domain, and promote collaboration among researchers from academia and industry to enhance the state-of-art, and help design a vision for future research. This workshop will facilitate collaboration among multiple core disciplines including computer science, medicine, public health, pharmacology, statistics, and social sciences.
Prasanna Desikan, Division of Applied Research, Allina Health
Ritu Khare, National Center for Biotechnology Information, National Institutes of Health
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