Community-engaged artificial intelligence research: A scoping review

TJ Loftus, JA Balch, KL Abbott, D Hu… - PLOS Digital …, 2024 - journals.plos.org
The degree to which artificial intelligence healthcare research is informed by data and
stakeholders from community settings has not been previously described. As communities …

Social determinants, health status and 10-year mortality among 10,906 older adults from the English longitudinal study of aging: the ATHLOS project

N Kollia, FF Caballero, A Sánchez-Niubó, S Tyrovolas… - BMC public health, 2018 - Springer
Background In either rich or poor countries, people's health widely depends on the social
conditions in which they live and work–the social determinants of health. The aim of the …

Trajectories of healthy ageing among older adults with multimorbidity: A growth mixture model using harmonised data from eight ATHLOS cohorts

H Nguyen, D Moreno-Agostino, KC Chua, S Vitoratou… - PLoS …, 2021 - journals.plos.org
Objectives In this study we aimed to 1) describe healthy ageing trajectory patterns, 2)
examine the association between multimorbidity and patterns of healthy ageing trajectories …

[HTML][HTML] A machine learning approach to predict e-cigarette use and dependence among Ontario youth

J Shi, R Fu, H Hamilton, M Chaiton - Health Promotion and Chronic …, 2022 - ncbi.nlm.nih.gov
Methods: This cross-sectional study used a representative sample of Ontario elementary
and high school students in 2019 (N= 6471). Vaping frequency over the last 12 months was …

Examining dynamic developmental trends: the interrelationship between age-friendly environments and healthy aging in the Chinese population—evidence from …

Y Cheng, Z Chen, Y Wei, N Gu, S Tang - BMC geriatrics, 2024 - Springer
Background The objective of this research is to investigate the dynamic developmental
trends between Age-Friendly Environments (AFE) and healthy aging in the Chinese …

Predictors of perceived success in quitting smoking by vaping: A machine learning approach

R Fu, R Schwartz, N Mitsakakis, LM Diemert… - PloS one, 2022 - journals.plos.org
Prior research has suggested that a set of unique characteristics may be associated with
adult cigarette smokers who are able to quit smoking using e-cigarettes (vaping). In this …

[HTML][HTML] Measuring successful aging: An exploratory factor analysis of the InCHIANTI Study into different health domains

S Mount, L Ferrucci, A Wesselius, MP Zeegers… - Aging (Albany …, 2019 - ncbi.nlm.nih.gov
Advocating continued health into old age, so called successful aging, is a growing public
health goal. However, the development of tools to measure aging is limited by the lack of …

A novel explainable machine learning-based healthy ageing scale

K Gašperlin Stepančič, A Ramovš, J Ramovš… - BMC Medical Informatics …, 2024 - Springer
Background Ageing is one of the most important challenges in our society. Evaluating how
one is ageing is important in many aspects, from giving personalized recommendations to …

Using multiple imputation and intervention-based scenarios to project the mobility of older adults

J Kontto, L Paalanen, R Sund, P Sainio, S Koskinen… - BMC geriatrics, 2022 - Springer
Background Projections of the development of mobility limitations of older adults are needed
for evidence-based policy making. The aim of this study was to generate projections of …

Method for calculating the integrated biological age of a human

A Pisaruk, V Shatilo, N Grygorieva… - Ageing and …, 2023 - aging-longevity.org.ua
Integral biological age (BA) encompasses a holistic assessment of an individual's overall
physiological state, taking into account various biological markers that may contribute to the …