The work may be either theoretical or applied. Papers submitted to this workshop must not have been accepted or be under review by another conference with a published proceedings or by a journal. Mining, text mining and visual analytics communities working on problems fromĪll submissions must be made electronically at. In data mining to use the data effectively. Have access to interesting sources of data and problems but lack the expertise
Most cases there is limited interaction between industry practitioners andĪcademic researchers working on related problems.īoth academia and industry) as well as practitioners to present their latest Healthcare entitiesĪre reluctant to release their internal data to academic researchers and in Researchers, and 2) limited access to data-mining experts. Gets data miners excited, however on the other hand, is accompanied withĬhallenges such as 1) the unavailability of large sources of data to academic On the one hand, EHR offers the data that As a result, data mining has becomeĬritical to the healthcare world. Insurance claims, medical imaging databases, disease registries, spontaneous
Healthcare processes in the form of Electronic Health Records (EHR), health At the same time, more and more data is being captured around Of healthcare is increasing more rapidly than the willingness and the ability
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