Longitudinal changes in LIC and other parameters in patients receiving different chelation regimens: Data from LICNET.

Angela VitranoMassimiliano SaccoRosamaria RossoAlessandra QuotaDaniela FiorinoEsther OlivaCalogera GerardiGaetano RoccamoVincenzo SpadolaAldo FilosaLorenzo TeséGiuseppina CalvarusoLorella PitroloLaura MistrettaFilippo CassaràRosario Di MaggioAurelio Maggio

Published in: European journal of haematology (2017)

These findings suggest as longitudinal variation in the LIC is possible, across all chelation regimens. It confirms as SF levels not always can be used for estimating changes in LIC.

Keyphrases

cross sectional
big data
machine learning
artificial intelligence
deep learning