AIMC Topic: Accidental Falls

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A Machine Learning-Based Prediction Model for the Probability of Fall Risk Among Chinese Community-Dwelling Older Adults.

Computers, informatics, nursing : CIN Dec 1, 2024
Fall is a common adverse event among older adults. This study aimed to identify essential fall factors and develop a machine learning-based prediction model to predict the fall risk category among community-dwelling older adults, leading to earlier i...
Male Risk Assessment China Risk Factors Aged Aged, 80 and over Bayes Theorem Probability Independent Living Accidental Falls Logistic Models East Asian People Humans Machine Learning Female
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Relationship of Community Mobility, Vital Space, and Faller Status in Older Adults.

Sensors (Basel, Switzerland) Nov 29, 2024
UNLABELLED: Community mobility, encompassing both active (e.g., walking) and passive (e.g., driving) transport, plays a crucial role in maintaining autonomy and social interaction among older adults. This study aimed to quantify community mobility in...
Independent Living Support Vector Machine Walking Accelerometry Female Aged Aged, 80 and over Male Geographic Information Systems Accidental Falls Humans
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Dynamic Tracking and Real-Time Fall Detection Based on Intelligent Image Analysis with Convolutional Neural Network.

Sensors (Basel, Switzerland) Nov 22, 2024
As many countries face rapid population aging, the supply of manpower for caregiving falls far short of the increasing demand for care. Therefore, if the care system can continuously recognize and track the care recipient and, at the first sign of a ...
Humans Neural Networks, Computer Algorithms Accidental Falls Image Processing, Computer-Assisted
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Reduction of Vision-Based Models for Fall Detection.

Sensors (Basel, Switzerland) Nov 13, 2024
Due to the limitations that falls have on humans, early detection of these becomes essential to avoid further damage. In many applications, various technologies are used to acquire accurate information from individuals such as wearable sensors, envir...
Humans Neural Networks, Computer Algorithms Accidental Falls Wearable Electronic Devices Image Processing, Computer-Assisted
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AI-assisted assessment of fall risk in multiple sclerosis: A systematic literature review.

Multiple sclerosis and related disorders Oct 16, 2024
BACKGROUND: Multiple sclerosis (MS) is an autoimmune disease that can increase the risk of falls in patients due to various factors. Traditional clinical assessments may not effectively identify those at risk of falling.
Risk Assessment Accidental Falls Humans Multiple Sclerosis Artificial Intelligence Machine Learning
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Deep feature fusion with computer vision driven fall detection approach for enhanced assisted living safety.

Scientific reports Sep 15, 2024
Assisted living facilities cater to the demands of the elderly population, providing assistance and support with day-to-day activities. Fall detection is fundamental to ensuring their well-being and safety. Falls are frequent among older persons and ...
Algorithms Aged Humans Deep Learning Accidental Falls Assisted Living Facilities
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Perceived Usefulness of Robotic Technology for Patient Fall Prevention.

Workplace health & safety Sep 13, 2024
BACKGROUND: Technology has the potential to prevent patient falls in healthcare settings and to reduce work-related injuries among healthcare providers. However, the usefulness and acceptability of each technology requires careful evaluation. Framed ...
Perception Nursing Assistants Students, Nursing Accidental Falls Robotics Humans Female Adult Male
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Acquisition of Data on Kinematic Responses to Unpredictable Gait Perturbations: Collection and Quality Assurance of Data for Use in Machine Learning Algorithms for (Near-)Fall Detection.

Sensors (Basel, Switzerland) Aug 20, 2024
Slip, trip, and fall (STF) accidents cause high rates of absence from work in many companies. During the 2022 reporting period, the German Social Accident Insurance recorded 165,420 STF accidents, of which 12 were fatal and 2485 led to disability pen...
Accidental Falls Gait Male Algorithms Young Adult Humans Middle Aged Databases, Factual Adult Machine Learning Accidents, Occupational Female Biomechanical Phenomena
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Identification of medication-related fall risk in adults and older adults admitted to hospital: A machine learning approach.

Geriatric nursing (New York, N.Y.) Aug 14, 2024
The study aimed to develop and validate, through machine learning, a fall risk prediction model related to prescribed medications specific to adults and older adults admitted to hospital. A case-control study was carried out in a tertiary hospital, i...
Machine Learning Algorithms Aged, 80 and over Female Male Humans Risk Assessment Case-Control Studies Risk Factors Accidental Falls Bayes Theorem Hospitalization Aged
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Leveraging feature selection for enhanced fall risk prediction in elderly using gait analysis.

Medical & biological engineering & computing Aug 10, 2024
There is no effective fall risk screening tool for the elderly that can be integrated into clinical practice. Developing a system that can be easily used in primary care services is a current need. Current studies focus on the use of multiple sensors...
Female Aged Aged, 80 and over Male Risk Assessment Accidental Falls Humans Gait Neural Networks, Computer Gait Analysis Algorithms
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