A predictor model of treatment resistance in schizophrenia using data from electronic health records.
<h4>Objectives</h4>To develop a prognostic tool of treatment resistant schizophrenia (TRS) in a large and diverse clinical cohort, with comprehensive coverage of patients using mental health services in four London boroughs.<h4>Methods</h4>We used the Least Absolute Shrinkage...
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0274864&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|