AIMC Topic: Geriatric Assessment
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Update on the detection of frailty in older adults: a multicenter cohort machine learning-based study protocol.
Aging
May 21, 2025
BACKGROUND: This study aims to investigate the relationship between muscle activation variables assessed via ultrasound and the comprehensive assessment of geriatric patients, as well as to analyze ultrasound images to determine their correlation wit...
A Natural and Unobtrusive Conversation Using a RASA-Driven Chatbot for Monitoring the Wellbeing of Elderlies.
Studies in health technology and informatics
May 15, 2025
This paper investigates the development and evaluation of a chatbot for administering the EQ5D questionnaire with a focus on improving user experience and ease of completion. To achieve this, the chatbot employs an open-source conversational AI envir...
Construction of disability risk prediction model for the elderly based on machine learning.
Scientific reports
May 9, 2025
The study aimed to develop a predictive model using machine learning algorithms, providing healthcare professionals with a novel tool for assessing disability risk in older adults. Data from the 2018 and 2020 waves of the China Health and Retirement ...
A Preliminary Usability Evaluation of an Artificial Intelligence-Based, Motion-Detecting Wearable Device: The Geriatric Functional Assessment System.
The journals of gerontology. Series A, Biological sciences and medical sciences
May 5, 2025
BACKGROUND: Physical function is a key determinant of independence among older adults. Yet, there are barriers to assessing physical function in clinic. We developed a wearable geriatric functional assessment system (GFAS) that quickly and effortless...
Machine learning-enabled risk prediction of self-neglect among community-dwelling older adults in China.
Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society
Jan 1, 2025
BACKGROUND: Elder self-neglect (ESN) is usually ignored as a private problem and impairs the health outcomes of older adults. It is essential to construct a robust and efficient tool for risk prediction which can better detect and prevent self-neglec...
Analysis of In-Home Movement Patterns for Depression Assessment in Older Adults - A Feasibility Study.
Studies in health technology and informatics
Sep 24, 2024
Depression significantly impacts the wellbeing of older Australians, posing considerable challenges to their overall quality of life. This study aimed to detect in-home movement patterns of participants that could be indicative of depressive states. ...
Drug Burden Index Is a Modifiable Predictor of 30-Day Hospitalization in Community-Dwelling Older Adults With Complex Care Needs: Machine Learning Analysis of InterRAI Data.
The journals of gerontology. Series A, Biological sciences and medical sciences
Aug 1, 2024
BACKGROUND: Older adults (≥65 years) account for a disproportionately high proportion of hospitalization and in-hospital mortality, some of which may be avoidable. Although machine learning (ML) models have already been built and validated for predic...
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...
Introducing a machine learning algorithm for delirium prediction-the Supporting SURgery with GEriatric Co-Management and AI project (SURGE-Ahead).
Age and ageing
May 1, 2024
INTRODUCTION: Post-operative delirium (POD) is a common complication in older patients, with an incidence of 14-56%. To implement preventative procedures, it is necessary to identify patients at risk for POD. In the present study, we aimed to develop...
Predictors of Toxicity Among Older Adults with Cancer.
Seminars in radiation oncology
Apr 1, 2022
An increasing number of cancer patients are of advanced age as the incidence of cancer increases with age. In this article, the clinical predictors of toxicity that may help in treatment selection are addressed, as well as mitigators of toxicity. The...
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