[Translated article] Analysis of machine learning algorithmic models for the prediction of vital status at six months after hip fracture in patients older than 74 years

[Translated article] Analysis of machine learning algorithmic models for the prediction of vital status at six months after hip fracture in patients older than 74 years

Background and objective: The objective is to develop a model that predicts vital status six months after fracture as accurately as possible. For this purpose we will use five different data sources obtained through the National Hip Fracture Registry, the Health Management Unit and the Economic Mana...

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Bibliographic Details
Main Authors: I. Calvo Lorenzo, I. Uriarte Llano, M.R. Mateo Citores, Y. Rojo Maza, U. Agirregoitia Enzunza
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Revista Española de Cirugía Ortopédica y Traumatología
Subjects:
Fractura de cadera
Aprendizaje automático
Bases de datos
NoSQL
Online Access:http://www.sciencedirect.com/science/article/pii/S1888441524001838
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