Predicting medication adherence using ensemble learning and deep learning models with large scale healthcare data

Clinical studies from WHO have demonstrated that only 50–70% of patients adhere properly to prescribed drug therapy. Such adherence failure can impact therapeutic efficacy for the patients in question and compromises data quality around the population-level efficacy of the drug for the indications t...

Descripción completa

Detalles Bibliográficos
Autores principales: Gu, Yingqi, Zalkikar, Akshay, Liu, Mingming, Kelly, Lara, Hall, Amy, Daly, Kieran, Ward, Tomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460813/
https://www.ncbi.nlm.nih.gov/pubmed/34556746
http://dx.doi.org/10.1038/s41598-021-98387-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460813/
https://www.ncbi.nlm.nih.gov/pubmed/34556746
http://dx.doi.org/10.1038/s41598-021-98387-w

Ejemplares similares