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Increasing secondary diagnosis encoding quality using data mining techniques

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Academic year: 2021

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Figure

TABLE I: Used features in the decision trees.
TABLE II: Summary of the studied secondary diagnoses.
TABLE IV: Results obtained for B96 (bacterial agents) as secondary diagnosis with the most frequent primary diagnoses using high and low levels of diagnoses granularity.
Fig. 1: Summary of the average measurements of the studied secondary diagnoses, using high level of granularity for all the encoded diagnoses.

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