Abstract
The paper focuses on children’s data present inElectronic Health Records(EHRs) starting fromraw data gathered from Southwest Medical Data Center in China. We designed a systembased on workflow to analyzefeatures that affect children’s growth. The system is able to relate health caredata to diagnosis codes and with additional information integrated and correlated to EHRs data. Finally, we propose prediction models based on Recursive Feature Elimination (RFE), which can identify features thatare important to detect children’s growthand findcorrelations among features.
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