Predicting risk and outcomes for frail older adults: an umbrella review of frailty screening tools
J Apóstolo, R Cooke, E Bobrowicz-Campos… - JBI Evidence …, 2017 - journals.lww.com
Background A scoping search identified systematic reviews on diagnostic accuracy and
predictive ability of frailty measures in older adults. In most cases, research was confined to …
predictive ability of frailty measures in older adults. In most cases, research was confined to …
Human-centred artificial intelligence for mobile health sensing: challenges and opportunities
Advances in wearable sensing and mobile computing have enabled the collection of health
and well-being data outside of traditional laboratory and hospital settings, paving the way for …
and well-being data outside of traditional laboratory and hospital settings, paving the way for …
Personalized multitask learning for predicting tomorrow's mood, stress, and health
While accurately predicting mood and wellbeing could have a number of important clinical
benefits, traditional machine learning (ML) methods frequently yield low performance in this …
benefits, traditional machine learning (ML) methods frequently yield low performance in this …
[图书][B] Adult development and aging
JC Cavanaugh, F Blanchard-Fields, JE Norris - 2006 - repository.poltekkes-kaltim.ac.id
Adult Development and Aging, 6th ed. Page 1 Page 2 John C. Cavanaugh Pennsylvania State
System of Higher Education Adult Development and Aging Fredda Blanchard-Fields Georgia …
System of Higher Education Adult Development and Aging Fredda Blanchard-Fields Georgia …
[HTML][HTML] Neighborhood deprivation, prefrontal morphology and neurocognition in late childhood to early adolescence
Background Neighborhood deprivation adversely effects neurodevelopment and cognitive
function; however, mechanisms remain unexplored. Neighborhood deprivation could be …
function; however, mechanisms remain unexplored. Neighborhood deprivation could be …
Predicting mortality from 57 economic, behavioral, social, and psychological factors
E Puterman, J Weiss, BA Hives… - Proceedings of the …, 2020 - National Acad Sciences
Behavioral and social scientists have identified many nonbiological predictors of mortality.
An important limitation of much of this research, however, is that risk factors are not studied …
An important limitation of much of this research, however, is that risk factors are not studied …
Predicting tomorrow's mood, health, and stress level using personalized multitask learning and domain adaptation
Predicting a person's mood tomorrow, from data collected unobtrusively using wearable
sensors and smartphones, could have a number of beneficial clinical applications; however …
sensors and smartphones, could have a number of beneficial clinical applications; however …
Caregiving within and beyond the family is associated with lower mortality for the caregiver: A prospective study
Grandparenting has been proposed as an ultimate evolutionary mechanism that has
contributed to the increase in human life expectancy (see the grandmother hypothesis). The …
contributed to the increase in human life expectancy (see the grandmother hypothesis). The …
Predicting cognitive impairment and dementia: A machine learning approach
Background: Efforts to identify important risk factors for cognitive impairment and dementia
have to date mostly relied on meta-analytic strategies. A comprehensive empirical …
have to date mostly relied on meta-analytic strategies. A comprehensive empirical …
How are personality states associated with smartphone data?
Smartphones promise great potential for personality science to study people's everyday life
behaviours. Even though personality psychologists have become increasingly interested in …
behaviours. Even though personality psychologists have become increasingly interested in …