Applying Machine Learning Models to Predict Medication Nonadherence in Crohn’s Disease Maintenance Therapy

OBJECTIVE: Medication adherence is crucial in the management of Crohn’s disease (CD), and yet the adherence remains low. This study aimed to develop machine learning models that can help predict CD patients of nonadherence to azathioprine (AZA), and thus assist caregivers to streamline the intervent...

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Bibliografiske detaljer
Udgivet i:Patient Prefer Adherence
Main Authors: Wang, Lei, Fan, Rong, Zhang, Chen, Hong, Liwen, Zhang, Tianyu, Chen, Ying, Liu, Kai, Wang, Zhengting, Zhong, Jie
Format: Artigo
Sprog:Inglês
Udgivet: Dove 2020
Fag:
Original Research
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7280067/
https://ncbi.nlm.nih.gov/pubmed/32581518
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/PPA.S253732
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