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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Dettagli Bibliografici
Pubblicato in:Patient Prefer Adherence
Autori principali: Wang, Lei, Fan, Rong, Zhang, Chen, Hong, Liwen, Zhang, Tianyu, Chen, Ying, Liu, Kai, Wang, Zhengting, Zhong, Jie
Natura: Artigo
Lingua:Inglês
Pubblicazione: Dove 2020
Soggetti:
Original Research
Accesso online: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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