Identifying Patterns of Practice in Large Administrative Health Databases
نویسنده
چکیده
It has become crucial for health service administrators to gain better understanding of current medical treatment patterns and associated costs to predict further developments of the processes governing health changes, to estimate health costs into the future. Episodic mining is a method that can assist organizations to increase their productivity and performance by considering some domain specifics. We suggest an efficient and scalable technique to mine episodic data that delivers a compact knowledge about health care episodes based on decomposing a binary relation and the associated lattice.
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تاریخ انتشار 2003