Canonical Correlation Analysis for Analyzing Sequences of Medical Billing Codes

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Due to the vast number of medical billing codes, it is generally infeasible to generate machine learning features from them as one-hot vectors. This paper discusses the use of Canonical Correlation Analysis to reduce this dimensionality and capture the inherent relationships that exist between the codes.


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