AIMC Topic: Frailty
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Predicting restriction of life-space mobility: a machine learning analysis of the IMIAS study.
Aging clinical and experimental research
Sep 7, 2022
BACKGROUND: Some studies have employed machine learning (ML) methods for mobility prediction modeling in older adults. ML methods could be a helpful tool for life-space mobility (LSM) data analysis.
Frailty Identification Using Heart Rate Dynamics: A Deep Learning Approach.
IEEE journal of biomedical and health informatics
Jul 1, 2022
Previous research showed that frailty can influence autonomic nervous system and consequently heart rate response to physical activities, which can ultimately influence the homeostatic state among older adults. While most studies have focused on rest...
Fully automated deep-learning section-based muscle segmentation from CT images for sarcopenia assessment.
Clinical radiology
Mar 5, 2022
AIM: To develop a fully automated deep-learning-based approach to measure muscle area for assessing sarcopenia on standard-of-care computed tomography (CT) of the abdomen without any case exclusion criteria, for opportunistic screening for frailty.
An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging.
Nature aging
Jul 12, 2021
While many diseases of aging have been linked to the immunological system, immune metrics capable of identifying the most at-risk individuals are lacking. From the blood immunome of 1,001 individuals aged 8-96 years, we developed a deep-learning meth...
An Artificial Neural Network Model for Assessing Frailty-Associated Factors in the Thai Population.
International journal of environmental research and public health
Sep 18, 2020
Frailty, one of the major public health problems in the elderly, can result from multiple etiologic factors including biological and physical changes in the body which contribute to the reduction in the function of multiple bodily systems. A diagnosi...
The application of artificial intelligence (AI) techniques to identify frailty within a residential aged care administrative data set.
International journal of medical informatics
Feb 4, 2020
INTRODUCTION: Research has shown that frailty, a geriatric syndrome associated with an increased risk of negative outcomes for older people, is highly prevalent among residents of residential aged care facilities (also called long term care facilitie...
Development of a clinical support system for identifying social frailty.
International journal of medical informatics
Sep 26, 2019
OBJECTIVE: Recognizing frailty, also known as clinical geriatric syndrome in the elderly that is characterized by high vulnerability and low resilience, and its extensive influence in clinical practice is challenging. This study aims to develop a soc...
Importance of medical data preprocessing in predictive modeling and risk factor discovery for the frailty syndrome.
BMC medical informatics and decision making
Feb 18, 2019
BACKGROUND: Increasing life expectancy results in more elderly people struggling with age related diseases and functional conditions. This poses huge challenges towards establishing new approaches for maintaining health at a higher age. An important ...
Development of a cardiac-centered frailty ontology.
Journal of biomedical semantics
Jan 18, 2019
BACKGROUND: A Cardiac-centered Frailty Ontology can be an important foundation for using NLP to assess patient frailty. Frailty is an important consideration when making patient treatment decisions, particularly in older adults, those with a cardiac ...
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