Indicators of inappropriate tumour marker use through the mining of electronic health records.

Massimo GionGiulia CardinaliChiara TrevisiolMarco ZappaGiulia RainatoAline S C Fabricio

Published in: Journal of evaluation in clinical practice (2017)

The developed indicators resulted suitable to monitor TM overordering in outpatients through the mining of EHRs. The present study is a first approach towards the use of big-data mining for TM appropriateness evaluation purposes.

Keyphrases

big data
electronic health record
artificial intelligence
machine learning
clinical decision support
adverse drug
deep learning