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"Use of machine learning to identify patients at risk of sub-optimal ..."

Amalia Spataru et al. (2022)

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DOI: 10.1186/S12911-022-01918-2

access: open

type: Journal Article

metadata version: 2022-07-25

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  dblp key:
  - journals/midm/SpataruDAMQK22
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  - https://dblp.org/rec/journals/midm/SpataruDAMQK22
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 Medical Informatics Decis. Mak. 22(1): 179 (2022)

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