AIMC Topic: Aged

Clear Filters Showing 7191 to 7200 of 14227 articles

Delirium screening in an acute care setting with a machine learning classifier based on routinely collected nursing data: A model development study.

Journal of psychiatric research
Delirium screening in acute care settings is a resource intensive process with frequent deviations from screening protocols. A predictive model relying only on daily collected nursing data for delirium screening could expand the populations covered b...

Leveraging IoT-Aware Technologies and AI Techniques for Real-Time Critical Healthcare Applications.

Sensors (Basel, Switzerland)
Personalised healthcare has seen significant improvements due to the introduction of health monitoring technologies that allow wearable devices to unintrusively monitor physiological parameters such as heart health, blood pressure, sleep patterns, an...

Machine learning-based prediction of disability risk in geriatric patients with hypertension for different time intervals.

Archives of gerontology and geriatrics
BACKGROUND: The risk of disability in older adults with hypertension is substantially high, and prediction of disability risk is crucial for subsequent management. This study aimed to construct prediction models of disability risk for geriatric patie...

Perioperative outcomes following robot-assisted partial nephrectomy in elderly patients.

World journal of urology
OBJECTIVE: To compare perioperative outcomes following robot-assisted partial nephrectomy (RAPN) in patients with age ≥ 70 years to age < 70 years.

Evaluating the risk of hypertension in residents in primary care in Shanghai, China with machine learning algorithms.

Frontiers in public health
OBJECTIVE: The prevention of hypertension in primary care requires an effective and suitable hypertension risk assessment model. The aim of this study was to develop and compare the performances of three machine learning algorithms in predicting the ...

A Care Robot with Ethical Sensing System for Older Adults at Home.

Sensors (Basel, Switzerland)
Many studies have explored emotional and mental services that robots can provide for older adults, such as offering them daily conversation, news, music, or health information. However, the ethical issues raised by using sensors for frail older adult...

Prediction of successful aging using ensemble machine learning algorithms.

BMC medical informatics and decision making
BACKGROUND: Aging is a chief risk factor for most chronic illnesses and infirmities. The growth in the aged population increases medical costs, thus imposing a heavy financial burden on families and communities. Successful aging (SA) is a positive an...

Unsupervised clustering of patients with severe aortic stenosis: A myocardial continuum.

Archives of cardiovascular diseases
BACKGROUND: Traditional statistics, based on prediction models with a limited number of prespecified variables, are probably not adequate to provide an appropriate classification of a condition that is as heterogeneous as aortic stenosis (AS).

Predictive Model for Human Activity Recognition Based on Machine Learning and Feature Selection Techniques.

International journal of environmental research and public health
Research into assisted living environments -within the area of Ambient Assisted Living (ALL)-focuses on generating innovative technology, products, and services to provide medical treatment and rehabilitation to the elderly, with the purpose of incre...

Predictive Models for Knee Pain in Middle-Aged and Elderly Individuals Based on Machine Learning Methods.

Computational and mathematical methods in medicine
AIM: This study used machine learning methods to develop a prediction model for knee pain in middle-aged and elderly individuals.