AIMC Topic: Accidental Falls

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The use of natural language processing for the identification of ageing syndromes including sarcopenia, frailty and falls in electronic healthcare records: a systematic review.

Age and ageing Jul 2, 2024
BACKGROUND: Recording and coding of ageing syndromes in hospital records is known to be suboptimal. Natural Language Processing algorithms may be useful to identify diagnoses in electronic healthcare records to improve the recording and coding of the...
Electronic Health Records Aged Aging Humans Algorithms Natural Language Processing Syndrome Geriatric Assessment Frailty Sarcopenia Accidental Falls
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Effects of Language Differences on Inpatient Fall Detection Using Deep Learning.

Studies in health technology and informatics Mar 1, 2024
This study examined the effects of language differences between Korean and English on the performance of natural language processing in the classification task of identifying inpatient falls from unstructured nursing notes.
Inpatients Natural Language Processing Language Deep Learning Accidental Falls Humans Electronic Health Records
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AI-based decision support to optimize complex care for preventing medication-related falls.

Nature medicine Mar 1, 2024
Artificial Intelligence Accidental Falls Humans
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Identifying best fall-related balance factors and robotic-assisted gait training attributes in 105 post-stroke patients using clinical machine learning models.

NeuroRehabilitation Jan 1, 2024
BACKGROUND: Despite the promising effects of robot-assisted gait training (RAGT) on balance and gait in post-stroke rehabilitation, the optimal predictors of fall-related balance and effective RAGT attributes remain unclear in post-stroke patients at...
Accidental Falls Robotics Postural Balance Male Middle Aged Exercise Therapy Stroke Rehabilitation Gait Disorders, Neurologic Stroke Gait Humans Machine Learning Aged Adult Female
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Better informing everyday fall risk assessment: experimental studies with contemporary technologies.

Lancet (London, England) Nov 1, 2023
BACKGROUND: Age-related mobility issues and frailty are a major public health concern because of an increased risk of falls. Subjective assessment of fall risk in the clinic is limited, failing to account for an individual's habitual activities in th...
Quality of Life Accidental Falls Independent Living Humans Male Female Risk Assessment Artificial Intelligence Aged
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Predicting future falls in older people using natural language processing of general practitioners' clinical notes.

Age and ageing Apr 1, 2023
BACKGROUND: Falls in older people are common and morbid. Prediction models can help identifying individuals at higher fall risk. Electronic health records (EHR) offer an opportunity to develop automated prediction tools that may help to identify fall...
General Practitioners Natural Language Processing Aged Humans Accidental Falls Electronic Health Records Logistic Models
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Deep Learning enabled Fall Detection exploiting Gait Analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Falls associated injuries often result not only increasing the medical-, social- and care-cost but also loss of mobility, impair chronic health and even potential risk of fatality. Because of elderly population growth, it is one of the major global p...
Aged Deep Learning Gait Gait Analysis Humans Accidental Falls Algorithms
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The Prediction of Fall Circumstances Among Patients in Clinical Care - A Retrospective Observational Study.

Studies in health technology and informatics May 25, 2022
Standardized fall risk scores have not proven to reliably predict falls in clinical settings. Machine Learning offers the potential to increase the accuracy of such predictions, possibly vastly improving care for patients at high fall risks. We devel...
Recurrence Accidental Falls Germany Humans Retrospective Studies Machine Learning Risk Factors Algorithms Hospitalization
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Inertial Tail Effects during Righting of Squirrels in Unexpected Falls: From Behavior to Robotics.

Integrative and comparative biology Sep 8, 2021
Arboreal mammals navigate a highly three dimensional and discontinuous habitat. Among arboreal mammals, squirrels demonstrate impressive agility. In a recent "viral" YouTube video, unsuspecting squirrels were mechanically catapulted off of a track, i...
Tail Sciuridae Models, Biological Accidental Falls Trees Animals Robotics
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Predicting Falls Among Community-Dwelling Older Adults: A Demonstration of Applied Machine Learning.

Computers, informatics, nursing : CIN May 1, 2021
Data science skills are increasingly needed by informatics nurses and nurse scientists, but techniques such as machine learning can be daunting for those with clinical, rather than computer science or technical, backgrounds. With the increasing quant...
Logistic Models Independent Living Algorithms Humans Aged Machine Learning Accidental Falls
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