Prediction of short-term antidepressant response using probabilistic graphical models with replication across multiple drugs and treatment settings

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:
Bibliographic Details
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
Description
Summary:10.1038/s41386-020-00943-x

Similar Items