Amalia Spataru, Paula van Dommelen, Lilian Arnaud, Quentin Le Masne, Silvia Quarteroni, Ekaterina Koledova. Use of machine learning to identify patients at risk of sub-optimal adherence: study based on real-world data from 10, 929 children using a connected auto-injector device. BMC Med. Inf. & Decision Making, 22(1):179, 2022. [doi]
@article{SpataruDAMQK22,
title = {Use of machine learning to identify patients at risk of sub-optimal adherence: study based on real-world data from 10, 929 children using a connected auto-injector device},
author = {Amalia Spataru and Paula van Dommelen and Lilian Arnaud and Quentin Le Masne and Silvia Quarteroni and Ekaterina Koledova},
year = {2022},
doi = {10.1186/s12911-022-01918-2},
url = {https://doi.org/10.1186/s12911-022-01918-2},
researchr = {https://researchr.org/publication/SpataruDAMQK22},
cites = {0},
citedby = {0},
journal = {BMC Med. Inf. & Decision Making},
volume = {22},
number = {1},
pages = {179},
}