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 …

Multi-feature computational framework for combined signatures of dementia in underrepresented settings

S Moguilner, A Birba, S Fittipaldi… - Journal of neural …, 2022 - iopscience.iop.org
Objective. The differential diagnosis of behavioral variant frontotemporal dementia (bvFTD)
and Alzheimer's disease (AD) remains challenging in underrepresented, underdiagnosed …

Sex differences in 10-year outcomes after percutaneous coronary intervention with drug-eluting stents: Insights from the decade cooperation

JJ Coughlan, L Räber, S Brugaletta, S Kufner… - Circulation, 2023 - Am Heart Assoc
Background: Although some studies have investigated sex-related outcomes up to 5 years
after percutaneous coronary intervention (PCI), analyses at longer follow-up (ie, to 10 years) …

Automated free speech analysis reveals distinct markers of Alzheimer's and frontotemporal dementia

P Lopes da Cunha, F Ruiz, F Ferrante, LF Sterpin… - PLoS …, 2024 - journals.plos.org
Dementia can disrupt how people experience and describe events as well as their own role
in them. Alzheimer's disease (AD) compromises the processing of entities expressed by …

Using explainable AI (XAI) for the prediction of falls in the older population

YT Tang, R Romero-Ortuno - Algorithms, 2022 - mdpi.com
The prevention of falls in older people requires the identification of the most important risk
factors. Frailty is associated with risk of falls, but not all falls are of the same nature. In this …

Comparing frailty prevalence between countries: validation of the Global Burden of Disease study Frailty Index (GBD-FI) in the survey of health, ageing and retirement …

MR O'Donovan, B Devleesschauwer, D Sezgin… - Age and …, 2023 - academic.oup.com
Background Accurate comparable prevalence proportions are required to better understand
the epidemiology of frailty. Estimates in many countries are missing or incomparable. The …

[HTML][HTML] The impact of frailty on perioperative outcomes in patients receiving short-level posterior lumbar interbody fusion: A stepwise propensity score matching …

P Cui, P Wang, J Wang, X Liu, C Kong… - Clinical Interventions in …, 2022 - ncbi.nlm.nih.gov
Background There are many studies on the impact of frailty on postoperative complications;
however, there are few studies focusing on stepwise propensity score matching (PSM) to …

[PDF][PDF] Comparison of perioperative outcomes in patients undergoing short-level lumbar fusion surgery after implementing enhanced recovery after surgery: A …

P Cui, P Wang, X Hu, C Kong, S Lu - Clinical interventions in aging, 2022 - Taylor & Francis
Background There were exponentially increased studies focused on revealing the
satisfactory outcomes after implementing enhanced recovery after surgery (ERAS) in …

Logistic and linear regression classifier based increasing accuracy of non-numerical data for prediction of enhanced employee attrition

G Khekare, K Balaji, M Arora… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Nowadays attrition rate of employees in several organizations are very high. This higher
attrition rate of employee depends on several factors. Logistic and linear regression …

Cardiovascular Signal Entropy Predicts All-Cause Mortality: Evidence from The Irish Longitudinal Study on Ageing (TILDA)

SP Knight, M Ward, L Newman, J Davis, E Duggan… - Entropy, 2022 - mdpi.com
In this study, the relationship between cardiovascular signal entropy and the risk of seven-
year all-cause mortality was explored in a large sample of community-dwelling older adults …