AIMC Topic: Independent Living
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Aging With Artificial Intelligence: How Technology Enhances Older Adults' Health and Independence.
The journals of gerontology. Series A, Biological sciences and medical sciences
Jun 10, 2025
BACKGROUND: As the global population ages healthcare challenges are escalating. Frailty, a clinical syndrome characterized by decreased reserve and resilience to stressors, is critically linked to adverse health outcomes in older adults. However, art...
Predicting cognitive frailty in community-dwelling older adults: a machine learning approach based on multidomain risk factors.
Scientific reports
May 26, 2025
Cognitive frailty (CF), a clinical syndrome involving both physical frailty (PF) and impaired cognition (IC), is associated with adverse health outcomes in older adults. This study aimed to identify key predictors of CF and develop a machine learning...
Feasibility and Effects of a Gait Assistance and Gait Resistance Training Program Using a Walking-Assist Wearable Robot for Community-Dwelling Older Adults: Single-Group, Pre-, and Posttest Study.
JMIR mHealth and uHealth
May 26, 2025
BACKGROUND: Two-thirds of people aged 65 years and older may require help with daily activities such as eating, bathing, and getting in and out of bed or a chair. Walking-assist wearable robots have shown significant improvements in physical function...
Artificial Intelligence and Aging in Place: A Scoping Review of Current Applications and Future Directions.
The Gerontologist
May 10, 2025
BACKGROUND AND OBJECTIVES: As the global population continues to age, aging in place (AIP) has emerged as an essential strategy to help older adults live safely and independently within their communities. Although artificial intelligence (AI) holds p...
Predicting Progression to Dementia Using Auditory Verbal Learning Test in Community-Dwelling Older Adults Based On Machine Learning.
The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry
May 1, 2025
BACKGROUND: Primary healthcare institutions find identifying individuals with dementia particularly challenging. This study aimed to develop machine learning models for identifying predictive features of older adults with normal cognition to develop ...
Sleep efficiency in community-dwelling persons living with dementia: exploratory analysis using machine learning.
Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
Feb 1, 2025
STUDY OBJECTIVES: Sleep disturbances lead to negative health outcomes and caregiver burden, particularly in community settings. This study aimed to investigate a predictive model for sleep efficiency and its associated features in older adults living...
Sarcopenia prediction model based on machine learning and SHAP values for community-based older adults with cardiovascular disease in China.
Frontiers in public health
Jan 1, 2025
BACKGROUND: Sarcopenia (SP), is recognized as a complication of cardiovascular disease (CVD), but few relevant diagnostic models have been developed. This study aims to establish an interpretable diagnostic model for the occurrence of SP in older adu...
Machine learning-enabled risk prediction of self-neglect among community-dwelling older adults in China.
Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society
Jan 1, 2025
BACKGROUND: Elder self-neglect (ESN) is usually ignored as a private problem and impairs the health outcomes of older adults. It is essential to construct a robust and efficient tool for risk prediction which can better detect and prevent self-neglec...
Drug Burden Index Is a Modifiable Predictor of 30-Day Hospitalization in Community-Dwelling Older Adults With Complex Care Needs: Machine Learning Analysis of InterRAI Data.
The journals of gerontology. Series A, Biological sciences and medical sciences
Aug 1, 2024
BACKGROUND: Older adults (≥65 years) account for a disproportionately high proportion of hospitalization and in-hospital mortality, some of which may be avoidable. Although machine learning (ML) models have already been built and validated for predic...
Develop and Validate a Prognostic Index With Laboratory Tests to Predict Mortality in Middle-Aged and Older Adults Using Machine Learning Models: A Prospective Cohort Study.
The journals of gerontology. Series A, Biological sciences and medical sciences
May 1, 2024
BACKGROUND: Prognostic indices can enhance personalized predictions of health burdens. However, a simple, practical, and reproducible tool is lacking for clinical use. This study aimed to develop a machine learning-based prognostic index for predicti...
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