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A prediction model built dynamically using patient data from multiple hospitals can serve as a tool for suggestive knowledge in clinical decision support. Such a tool that accommodates queries based on attributes of interest is helpful in building a targeted model from multiple hospitals when a local clinical data repository does not have sufficient number of records to draw conclusions from. However,...
Building prediction models for suggestive knowledge from multiple sources dynamically is of great interest from a clinical decision support point of view. This is valuable in situations where the local clinical data repository does not have sufficient number of records to draw conclusions from. However, due to privacy concerns, hospitals are reluctant to divulge patient records. Consequently, a distributed...
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