Pharmacogenomics‐Driven Prediction of Antidepressant Treatment Outcomes: A Machine‐Learning Approach With Multi‐trial Replication

We set out to determine whether machine learning–based algorithms that included functionally validated pharmacogenomic biomarkers joined with clinical measures could predict selective serotonin reuptake inhibitor (SSRI) remission/response in patients with major depressive disorder (MDD). We studied...

Descripción completa

Detalles Bibliográficos
Autores principales: Athreya, Arjun P., Neavin, Drew, Carrillo‐Roa, Tania, Skime, Michelle, Biernacka, Joanna, Frye, Mark A., Rush, A. John, Wang, Liewei, Binder, Elisabeth B., Iyer, Ravishankar K., Weinshilboum, Richard M., Bobo, William V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6739122/
https://www.ncbi.nlm.nih.gov/pubmed/31012492
http://dx.doi.org/10.1002/cpt.1482

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6739122/
https://www.ncbi.nlm.nih.gov/pubmed/31012492
http://dx.doi.org/10.1002/cpt.1482

Ejemplares similares