Predictive model for a second hip fracture occurrence using natural language processing and machine learning on electronic health records

Predictive model for a second hip fracture occurrence using natural language processing and machine learning on electronic health records

Abstract Hip fractures (HFx) are associated with a higher morbidity and mortality rates, leading to a significant reduction in life quality and in limitation of patient´s mobility. The present study aimed to obtain real-world evidence on the clinical characteristics of patients with an initial and a...

Full description

Bibliographic Details
Main Authors: Ricardo Larrainzar-Garijo, Esther Fernández-Tormos, Carlos Alberto Collado-Escudero, María Alcantud Ibáñez, Fernando Oñorbe-San Francisco, Judith Marin-Corral, David Casadevall, David Donaire-Gonzalez, Luisa Martínez-Sanchez, Lucia Cabal-Hierro, Diego Benavent, Fátima Brañas
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-50762-5

Internet

https://doi.org/10.1038/s41598-023-50762-5

Similar Items