Prediction of short-term antidepressant response using probabilistic graphical models with replication across multiple drugs and treatment settings
10.1038/s41386-020-00943-x
Saved in:
Main Authors: | Athreya, Arjun P., Brückl, T., Binder, Elisabeth B., John Rush, A., Biernacka, Joanna, Frye, Mark A., Neavin, Drew, Skime, Michelle, Monrad, Ditlev, Iyer, Ravishankar K., Mayes, Taryn, Trivedi, Madhukar, Carter, Rickey E., Wang, Liewei, Weinshilboum, Richard M., Croarkin, Paul E., Bobo, William, V |
---|---|
Other Authors: | DUKE-NUS MEDICAL SCHOOL |
Format: | Article |
Published: |
Springer Nature
2022
|
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/233853 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Association of polymorphisms in genes regulating the corticotropin- releasing factor system with antidepressant treatment response
by: Binder, E.B., et al.
Published: (2014) -
Relationship between obesity and depression: Characteristics and treatment outcomes with antidepressant medication
by: Toups, M.S.P., et al.
Published: (2014) -
Addressing the unmet needs of current antidepressants: does neuroscience help or hinder clinical psychopharmacology research?
by: Joseph Goldberg, et al.
Published: (2018) -
Monitoring for antidepressant-associated adverse events in the treatment of patients with major depressive disorder: An international consensus statement
by: Seetal Dodd, et al.
Published: (2018) -
A practical approach to the early identification of antidepressant medication non-responders
by: Li, J., et al.
Published: (2014)