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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Detalles Bibliográficos
Autores principales: Wang, Lei, Fan, Rong, Zhang, Chen, Hong, Liwen, Zhang, Tianyu, Chen, Ying, Liu, Kai, Wang, Zhengting, Zhong, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280067/
https://www.ncbi.nlm.nih.gov/pubmed/32581518
http://dx.doi.org/10.2147/PPA.S253732

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280067/
https://www.ncbi.nlm.nih.gov/pubmed/32581518
http://dx.doi.org/10.2147/PPA.S253732

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