AIMC Topic: Accidental Falls
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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...
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...
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...
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...
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...
Machine Learning in Aging: An Example of Developing Prediction Models for Serious Fall Injury in Older Adults.
The journals of gerontology. Series A, Biological sciences and medical sciences
Mar 31, 2021
BACKGROUND: Advances in computational algorithms and the availability of large datasets with clinically relevant characteristics provide an opportunity to develop machine learning prediction models to aid in diagnosis, prognosis, and treatment of old...
Fall Detector Adapted to Nursing Home Needs through an Optical-Flow based CNN.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
Fall detection in specialized homes for the elderly is challenging. Vision-based fall detection solutions have a significant advantage over sensor-based ones as they do not instrument the resident who can suffer from mental diseases. This work is par...
Detecting falls and estimation of daily habits with depth images using machine learning algorithms.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
Different approaches have been proposed in the literature to detect the fall of an elderly person. In this paper, we propose a fall detection method based on the classification of parameters extracted from depth images. Three supervised learning meth...
The Purpose of Bedside Robots: Exploring the Needs of Inpatients and Healthcare Professionals.
Computers, informatics, nursing : CIN
Jan 1, 2020
Robotic systems are used to support inpatients and healthcare professionals and to improve the efficiency and quality of nursing. There is a lack of scientific literature on how applied robotic systems can be used to support inpatients. This study us...
Anticoagulant treatment in elderly patients with atrial fibrillation: a position paper.
Geriatrie et psychologie neuropsychiatrie du vieillissement
Dec 1, 2019
Atrial fibrillation (AF) is common in the elderly. The treatment of this condition is based on anticoagulation to prevent stroke and systemic arterial embolism. Vitamin K antagonists (VKAs) have long been the only anticoagulants available for the man...
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