Plos One (2021)
Attributed to:
MICA: Centre for the Improvement of Population Health through E-health Research (CIPHER)
funded by
MRC
Abstract
No abstract provided
Bibliographic Information
Publication URI: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0257361
Type: Journal Article/Review
Volume: 16(9)
Parent Publication: Predicting fracture outcomes from clinical Registry data using Artificial Intelligence Supplemented models for Evidence-informed treatment (PRAISE) study Protocol.