Geriatrics

Latest AI and machine learning research in geriatrics for healthcare professionals.

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Showing 1303-1323 of 8,083 articles
Stages prediction of Alzheimer's disease with shallow 2D and 3D CNNs from intelligently selected neuroimaging data.

Detection of Alzheimer's Disease (AD) is critical for successful diagnosis and treatment, involving ...

Mar 2025 40102464
Using machine learning to predict depression among middle-aged and elderly population in China and conducting empirical analysis.

OBJECTIVE: To develop a predictive model for evaluating depression among middle-aged and elderly ind...

Mar 2025 40100860
Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers.

OBJECTIVE: Postoperative delirium, a common neurocognitive complication after surgery and anesthesia...

Mar 2025 40095318
Utilizing machine learning to identify fall predictors in India's aging population: findings from the LASI.

BACKGROUND: Depression has a detrimental effect on an individual's mental and musculoskeletal streng...

Mar 2025 40097950
Predictive modelling of knee osteoporosis.

OBJECTIVE: The objective of this research was to develop a machine learning-based predictive model f...

Mar 2025 40091106
The association between sports social capital and cognitive health: A longitudinal study of middle-aged and elderly adults in China.

This study examines the association between sports social capital and cognitive health in middle-age...

Mar 2025 40212736
Biological age prediction using a DNN model based on pathways of steroidogenesis.

Aging involves the progressive accumulation of cellular damage, leading to systemic decline and age-...

Mar 2025 40085695
Automated Fast Prediction of Bone Mineral Density From Low-dose Computed Tomography.

BACKGROUND: Low-dose chest CT (LDCT) is commonly employed for the early screening of lung cancer. Ho...

Mar 2025 40082126
Neuropsychological tests and machine learning: identifying predictors of MCI and dementia progression.

BACKGROUND: Early prediction of progression in dementia is of major importance for providing patient...

Mar 2025 40072711
Development of a visualized risk prediction system for sarcopenia in older adults using machine learning: a cohort study based on CHARLS.

INTRODUCTION: The older adult are at high risk of sarcopenia, making early identification and scient...

Mar 2025 40144970
Utilizing SMOTE-TomekLink and machine learning to construct a predictive model for elderly medical and daily care services demand.

This study aims to construct a prediction model for the demand for medical and daily care services o...

Mar 2025 40069309
A comprehensive interpretable machine learning framework for mild cognitive impairment and Alzheimer's disease diagnosis.

An interpretable machine learning (ML) framework is introduced to enhance the diagnosis of Mild Cogn...

Mar 2025 40069342
Develop and validate machine learning models to predict the risk of depressive symptoms in older adults with cognitive impairment.

BACKGROUND: Cognitive impairment and depressive symptoms are prevalent and closely interrelated ment...

Mar 2025 40069646
Can some algorithms of machine learning identify osteoporosis patients after training and testing some clinical information about patients?

OBJECTIVE: This study was designed to establish a diagnostic model for osteoporosis by collecting cl...

Mar 2025 40069777
PrOsteoporosis: predicting osteoporosis risk using NHANES data and machine learning approach.

OBJECTIVES: Osteoporosis, prevalent among the elderly population, is primarily diagnosed through bon...

Mar 2025 40069865
Using statistical modelling and machine learning in detecting bone properties: A systematic review protocol.

INTRODUCTION: Osteoporosis, a common condition characterised by decreased bone mass and microarchite...

Mar 2025 40067789
Dementia Overdiagnosis in Younger, Higher Educated Individuals Based on MMSE Alone: Analysis Using Deep Learning Technology.

BACKGROUND: Dementia is a multifaceted disorder that affects cognitive function, necessitating accur...

Mar 2025 40065710
Machine learning to detect Alzheimer's disease with data on drugs and diagnoses.

BACKGROUND: Integrating machine learning with medical records offers potential for early detection o...

Mar 2025 40057461
Comparison of Deep Learning and Traditional Machine Learning Models for Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers.

Mild cognitive impairment (MCI) is a clinical condition characterized by a decline in cognitive abil...

Mar 2025 40141072
MCNEL: A multi-scale convolutional network and ensemble learning for Alzheimer's disease diagnosis.

BACKGROUND AND OBJECTIVE: Alzheimer's disease (AD) significantly threatens community well-being and ...

Mar 2025 40081198
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