Detection and Visualization of Temporal Events in a Large-Scale Patient Database
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Mar 2, 2016
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Mar 3, 2015
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Abstract
A method for detecting temporal events includes accessing a non-relational database storing patient encounter information for a plurality of encounters and patients. The stored encounter information, and rules defining a patient condition, are used to generate an input data file having a plurality of patient entries. The rules define a temporal window size and include rules for determining whether the patient condition is expressed within any given instance of the temporal window. Each patient entry includes, for each encounter associated with the patient, an encounter identifier, a temporal indicator, and one or more attribute values. The input data file is processed at least by identifying instances of the temporal window, processing portions of the patient entries that correspond to encounters that occurred within the window instances to determine whether the rule(s) is/are satisfied, and adding to an output data file an indication of whether the rule(s) was/were satisfied.
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