[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

We have not been able to generate a model for the prediction of six-month survival in the current cohort. However, we believe that the method used for the generation of algorithms based on machine learning can serve as a reference for future works.

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Publication Details

Journal
Revista Española de Cirugía Ortopédica y Traumatología
Published
2024-11-07
DOI
https://doi.org/10.1016/j.recot.2024.11.008
Primary Topic
Hip and Femur Fractures
Type
article
Field-Weighted Citation Impact
0.00
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article

[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

Iker Uriarte Llano, Yaguache Maza, M.R. Mateo Citores, U. Agirregoitia Enzunza et al.
Revista Española de Cirugía Ortopédica y Traumatología
Hip and Femur Fractures
article

[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

Iker Uriarte Llano, Yaguache Maza, M.R. Mateo Citores, U. Agirregoitia Enzunza, Irineo Lorenzo
article en

Abstract

We have not been able to generate a model for the prediction of six-month survival in the current cohort. However, we believe that the method used for the generation of algorithms based on machine learning can serve as a reference for future works.

Revista Española de Cirugía Ortopédica y TraumatologíaVol. 69(1)
Hospital de Galdakao (ES)
Gender equality
Openalex Percentile: Top 63%
Hip and Femur Fractures
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