Correction: Replication of machine learning methods to predict treatment outcome with antidepressant medications in patients with major depressive disorder from STAR*D and CAN-BIND-1
John-Jose Nunez, Teyden T. Nguyen, Yihan Zhou, Bo Cao, Raymond T. Ng, Jun Chen, Benicio N. Frey, Roumen Milev, Daniel J. Müller, Susan Rotzinger, Claudio N. Soares, Rudolf Uher, Sidney H. Kennedy, Raymond W. Lam · 2024
Read Correction: Replication of machine learning methods to predict treatment outcome with antidepressant medications in patients with major depressive disorder from STAR*D and CAN-BIND-1 by John-Jose Nunez, Teyden T. Nguyen, Yihan Zhou, Bo Cao, Raymond T. Ng, Jun Chen, Benicio N. Frey, Roumen Milev, Daniel J. Müller, Susan Rotzinger, Claudio N. Soares, Rudolf Uher, Sidney H. Kennedy, Raymond W. Lam (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11637415.txt.
Description
is: Our replicated models predicted TRD in the STAR*D dataset with slightly better balanced accuracy than Nie et al (68%-72% versus 64%-71%, respectively). Prediction performance on our external methodology validation on the CAN-BIND-1 dataset varied depending on outcome; performance was worse for response (best balanced accuracy 6%) compared to remission (7%).
Catalog record
| CREATOR | John-Jose Nunez, Teyden T. Nguyen, Yihan Zhou, Bo Cao, Raymond T. Ng, Jun Chen, Benicio N. Frey, Roumen Milev, Daniel J. Müller, Susan Rotzinger, Claudio N. Soares, Rudolf Uher, Sidney H. Kennedy, Raymond W. Lam |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 14 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |