AIMC Topic: Geriatric Assessment
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Higher blood biochemistry-based biological age developed by advanced deep learning techniques is associated with frailty in geriatric rehabilitation inpatients: RESORT.
Experimental gerontology
Apr 13, 2024
BACKGROUND: Accelerated biological ageing is a major underlying mechanism of frailty development. This study aimed to investigate if the biological age measured by a blood biochemistry-based ageing clock is associated with frailty in geriatric rehabi...
Development and validation of machine learning models to predict frailty risk for elderly.
Journal of advanced nursing
Apr 11, 2024
AIMS: Early identification and intervention of the frailty of the elderly will help lighten the burden of social medical care and improve the quality of life of the elderly. Therefore, we used machine learning (ML) algorithm to develop models to pred...
Preoperative Delirium Risk Screening in Patients Undergoing a Cardiac Surgery: Results from the Prospective Observational FINDERI Study.
The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry
Dec 29, 2023
OBJECTIVE: Postoperative delirium (POD) is a common complication of cardiac surgery that is associated with higher morbidity, longer hospital stay, cognitive decline, and mortality. Preoperative assessments may help to identify patients´ POD risk. Ho...
Determinants of Attitude to a Humanoid Social Robot in Care for Older Adults: A Post-Interaction Study.
Medical science monitor : international medical journal of experimental and clinical research
Sep 8, 2023
BACKGROUND While there is a growing body of research examining opinions on social robots in elderly care, there is a lack of comprehensive studies investigating the underlying factors influencing these opinions. The Godspeed Questionnaire Series (GQS...
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...
An Automated Planning Model for HRI: Use Cases on Social Assistive Robotics.
Sensors (Basel, Switzerland)
Nov 14, 2020
Using Automated Planning for the high level control of robotic architectures is becoming very popular thanks mainly to its capability to define the tasks to perform in a declarative way. However, classical planning tasks, even in its basic standard P...
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...
Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients.
Archives of physical medicine and rehabilitation
Sep 16, 2020
OBJECTIVE: To use machine learning-based methods in designing a predictive model of rehabilitation outcomes for postacute hip fracture patients.
Development and validation of a robotic multifactorial fall-risk predictive model: A one-year prospective study in community-dwelling older adults.
PloS one
Jun 25, 2020
BACKGROUND: Falls in the elderly are a major public health concern because of their high incidence, the involvement of many risk factors, the considerable post-fall morbidity and mortality, and the health-related and social costs. Given that many fal...
Predicting hospital admission for older emergency department patients: Insights from machine learning.
International journal of medical informatics
May 16, 2020
BACKGROUND: Emergency departments (ED) are a portal of entry into the hospital and are uniquely positioned to influence the health care trajectories of older adults seeking medical attention. Older adults present to the ED with distinct needs and com...
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