Assessment and risk prediction of frailty using texture-based muscle ultrasound image analysis and machine learning techniques-Reference-Cited by-同舟云学术

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Assessment and risk prediction of frailty using texture-based muscle ultrasound image analysis and machine learning techniques

Published:2023-10 Issue: Volume:215 Page:111860
ISSN:0047-6374
Container-title:Mechanisms of Ageing and Development
language:en
Short-container-title:Mechanisms of Ageing and Development

Author:

Mirón-Mombiela Rebeca,Ruiz-España Silvia,Moratal David,Borrás Consuelo

Funder

Generalitat Valenciana Conselleria de Cultura Educacio i Esport

Espana Ministerio de Ciencia e Innovacion

Generalitat Valenciana

Publisher

Elsevier BV

Subject

Developmental Biology,Aging

Reference59 articles.

1. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach;Aerts;Nat. Commun.,2014

2. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach;Aerts;Nat. Commun.,2014

3. Frailty in patients with cardiovascular disease: why, when, and how to measure;Afilalo;Curr. Cardiovasc. Risk Rep.,2011

4. Relationship between quadriceps echo intensity and functional and morphological characteristics in older men and women;Akima;Arch. Gerontol. Geriatr.,2017

5. Selection bias in gene extraction on the basis of microarray gene-expression data;Ambroise;Proc. Natl. Acad. Sci.,2002

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1. Machine Learning Approaches for Predicting Frailty Base on Multimorbidities in US Adults Using NHANES Data (1999-2018);Computer Methods and Programs in Biomedicine Update;2024-09

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