Ageing vision and falls: a review

LN Saftari, OS Kwon - Journal of physiological anthropology, 2018 - Springer
Background Falls are the leading cause of accidental injury and death among older adults.
One of three adults over the age of 65 years falls annually. As the size of elderly population …

Center of pressure displacement characteristics differentiate fall risk in older people: A systematic review with meta-analysis

F Quijoux, A Vienne-Jumeau, F Bertin-Hugault… - Ageing Research …, 2020 - Elsevier
Falling is the second most prevalent cause of accidental death in the world. Currently
available clinical tests to assess balance in older people are insufficiently sensitive to screen …

A systematic review of fall prediction models for community-dwelling older adults: comparison between models based on research cohorts and models based on …

N Dormosh, B van de Loo, MW Heymans… - Age and …, 2024 - academic.oup.com
Background Prediction models can identify fall-prone individuals. Prediction models can be
based on either data from research cohorts (cohort-based) or routinely collected data (RCD …

Factors associated with fall risk of community-dwelling older people: A decision tree analysis

KNK Fong, RCK Chung, PPC Sze, CKM Ng - Digital health, 2023 - journals.sagepub.com
Objective To examine the predictive attributes for accidental falls in community-dwelling
older people in Hong Kong using decision tree analysis. Methods We recruited 1151 …

Applying artificial intelligence to predict falls for inpatient

YH Chen, JL Xu - Frontiers in Medicine, 2023 - frontiersin.org
Objective Falls are adverse events which commonly occur in hospitalized patients. Inpatient
falls may cause bruises or contusions and even a fractures or head injuries, which can lead …

[HTML][HTML] The enhanced paper grip test can substantially improve community screening for the risk of falling

MK Mansi, N Chockalingam, PE Chatzistergos - Gait & Posture, 2024 - Elsevier
Background Lower-limb strength measures can enhance falls risk assessment but due to the
lack of clinically applicable methods, such measures are not included in current screening …

Machine learning for predictive data analytics in medicine: A review illustrated by cardiovascular and nuclear medicine examples

A Jamin, P Abraham… - Clinical physiology and …, 2021 - Wiley Online Library
The evidence‐based medicine allows the physician to evaluate the risk–benefit ratio of a
treatment through setting and data. Risk‐based choices can be done by the doctor using …

Combined depression and malnutrition as an effective predictor of first fall onset in a Chinese community-dwelling population: a 2-year prospective cohort study

L Wang, X Wang, P Song, P Han, L Fu… - Rejuvenation …, 2020 - liebertpub.com
This study aims to explore the single and joint effects of depression and malnutrition on the
incidence of first fall onset in a Chinese community-dwelling elderly population. This cohort …

Using conditional inference forests to examine predictive ability for future falls and syncope in older adults: Results from The Irish Longitudinal Study on Ageing

OA Donoghue, B Hernandez… - The Journals of …, 2023 - academic.oup.com
Background The extent to which gait and mobility measures predict falls relative to other risk
factors is unclear. This study examined the predictive accuracy of over 70 baseline risk …

Risk factors for future falls among community-dwelling older adults without a fall in the previous year: A prospective one-year longitudinal study

JM Porto, NCR Iosimuta, RCF Júnior… - Archives of gerontology …, 2020 - Elsevier
Introduction One of the main risk factor for falls is a history of falls itself. Henceforth,
preventing a fall is an important strategy for the prevention of new ones. The objective of the …