[HTML][HTML] Biomarkers of aging in frailty and age-associated disorders: State of the art and future perspective

S Salvioli, MS Basile, L Bencivenga, S Carrino… - Ageing Research …, 2023 - Elsevier
According to the Geroscience concept that organismal aging and age-associated diseases
share the same basic molecular mechanisms, the identification of biomarkers of age that can …

Machine learning approaches for frailty detection, prediction and classification in elderly people: A systematic review

M Leghissa, Á Carrera, CA Iglesias - International journal of medical …, 2023 - Elsevier
Background Frailty in older people is a syndrome related to aging that is becoming
increasingly common and problematic as the average age of the world population …

Digital health technology combining wearable gait sensors and machine learning improve the accuracy in prediction of frailty

S Fan, J Ye, Q Xu, R Peng, B Hu, Z Pei… - Frontiers in Public …, 2023 - frontiersin.org
Background Frailty is a dynamic and complex geriatric condition characterized by multi-
domain declines in physiological, gait and cognitive function. This study examined whether …

Evaluating tree-based imputation methods as an alternative to MICE PMM for drawing inference in empirical studies

J Schwerter, K Gurtskaia, A Romero… - arXiv preprint arXiv …, 2024 - arxiv.org
Dealing with missing data is an important problem in statistical analysis that is often
addressed with imputation procedures. The performance and validity of such methods are of …

Machine learning functional impairment classification with electronic health record data

JM Pavon, L Previll, M Woo, R Henao… - Journal of the …, 2023 - Wiley Online Library
Background Poor functional status is a key marker of morbidity, yet is not routinely captured
in clinical encounters. We developed and evaluated the accuracy of a machine learning …

Community screening for dementia among older adults in China: a machine learning-based strategy

Y Zhang, J Xu, C Zhang, X Zhang, X Yuan, W Ni… - BMC Public Health, 2024 - Springer
Background Dementia is a leading cause of disability in people older than 65 years
worldwide. However, diagnosing dementia in its earliest symptomatic stages remains …

Prediction models of grip strength in adults above 65 years using Korean National Physical Fitness Award Data from 2009 to 2019

JH Bae, X Li, T Kim, HS Bang, S Lee… - European Geriatric …, 2023 - Springer
Purpose We aimed to determine the best machine learning (ML) regression model for
predicting grip strength in adults above 65 years using various independent variables, such …

[HTML][HTML] Predicting Outcomes in Frail Older Community-Dwellers in Western Australia: Results from the Community Assessment of Risk Screening and Treatment …

RM Clarnette, I Kostov, JP Ryan, A Svendrovski… - Healthcare, 2024 - mdpi.com
Understanding risk factors for frailty, functional decline and incidence of adverse healthcare
outcomes amongst community-dwelling older adults is important to plan population-level …

Application of machine learning in predicting frailty syndrome in patients with heart failure

R Szczepanowski, I Uchmanowicz… - … in clinical and …, 2024 - repository.uantwerpen.be
Prevention and diagnosis of frailty syndrome (FS) in patients with heart failure (HF) require
innovative systems to help medical personnel tailor and optimize their treatment and care …

Frailty and Cardiovascular Disease

DE O'Neill, DE Forman - Frailty: A Multidisciplinary Approach to …, 2024 - Springer
The population is aging, and the biology of aging is conducive to both the development of
cardiovascular disease (CVD) as well as frailty, such that a bidirectional relationship exists …