Predicting fracture outcomes from clinical registry data using artificial intelligence supplemented models for evidence-informed treatment (PRAISE) study protocol.

Predicting fracture outcomes from clinical registry data using artificial intelligence supplemented models for evidence-informed treatment (PRAISE) study protocol.

<h4>Background</h4>Distal radius (wrist) fractures are the second most common fracture admitted to hospital. The anatomical pattern of these types of injuries is diverse, with variation in clinical management, guidelines for management remain inconclusive, and the uptake of findings from...

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Autores principales: Joanna F Dipnall, Richard Page, Lan Du, Matthew Costa, Ronan A Lyons, Peter Cameron, Richard de Steiger, Raphael Hau, Andrew Bucknill, Andrew Oppy, Elton Edwards, Dinesh Varma, Myong Chol Jung, Belinda J Gabbe
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/523646ed2c9e4482888f7f624ff2b924
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https://doaj.org/article/523646ed2c9e4482888f7f624ff2b924

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