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    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

    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 by Amalia Spataru, Paula van Dommelen, Lilian Arnaud, Quentin Le Masne, Silvia Quarteroni, Ekaterina Koledova

    Published 2022-07-01
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