Bayesian network analysis of antidepressant treatment trajectories

It is currently difficult to successfully choose the correct type of antidepressant for individual patients. To discover patterns in patient characteristics, treatment choices and outcomes, we performed retrospective Bayesian network analysis combined with natural language processing (NLP). This stu...

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Detalles Bibliográficos
Autores principales: Turner, Rosanne J., Hagoort, Karin, Meijer, Rosa J., Coenen, Femke, Scheepers, Floortje E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209137/
https://www.ncbi.nlm.nih.gov/pubmed/37225783
http://dx.doi.org/10.1038/s41598-023-35508-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209137/
https://www.ncbi.nlm.nih.gov/pubmed/37225783
http://dx.doi.org/10.1038/s41598-023-35508-7

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