AIMC Topic: Longitudinal Studies
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Development and validation of a convenient dementia risk prediction tool for diabetic population: A large and longitudinal machine learning cohort study.
Journal of affective disorders
Jul 1, 2025
BACKGROUND: Diabetes mellitus has been shown to increase the risk of dementia, with diabetic patients demonstrating twice the dementia incidence rate of non-diabetic populations. We aimed to develop and validate a novel machine learning-based dementi...
Developing an interpretable machine learning model for screening depression in older adults with functional disability.
Journal of affective disorders
Jun 15, 2025
This study utilized data from the 2020 wave of the China Health and Retirement Longitudinal Study database, selecting 4322 participants aged 60 and above as the study sample. Important predictors of depression in older adults with functional disabili...
Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder.
Journal of affective disorders
Jun 15, 2025
BACKGROUND: Early diagnosis and treatment of mental illnesses is hampered by the lack of reliable markers. This study used machine learning models to uncover diagnostic and risk prediction markers for eating disorders (EDs), major depressive disorder...
A Bayesian Approach to the G-Formula via Iterative Conditional Regression.
Statistics in medicine
Jun 1, 2025
In longitudinal observational studies with time-varying confounders, the generalized computation algorithm formula (g-formula) is a principled tool to estimate the average causal effect of a treatment regimen. However, the standard non-iterative g-fo...
Radiomics of PET Using Neural Networks for Prediction of Alzheimer's Disease Diagnosis.
Statistics in medicine
Jun 1, 2025
Positron emission tomography (PET) imaging technology is widely used for diagnosing Alzheimer's disease (AD) in people with dementia. Although various computational methods have been proposed for diagnosis of AD using PET images, prediction of diseas...
Evolution of Cortical Lesions and Function-Specific Cognitive Decline in People With Multiple Sclerosis.
Neurology
Jun 1, 2025
BACKGROUND AND OBJECTIVES: Cortical lesions in multiple sclerosis (MS) severely affect cognition, but their longitudinal evolution and impact on specific cognitive functions remain understudied. This study investigates the evolution of function-speci...
Machine learning algorithms to predict stroke in China based on causal inference of time series analysis.
BMC neurology
May 31, 2025
IMPORTANCE: Identifying and managing high-risk populations for stroke in a targeted manner is a key area of preventive healthcare.
Explainable machine learning models predicting the risk of social isolation in older adults: a prospective cohort study.
BMC public health
May 30, 2025
INTRODUCTION: This study aimed to develop a machine learning system to predict social isolation risk in older adults.
Performance of machine learning models for predicting high-severity symptoms in multiple sclerosis.
Scientific reports
May 25, 2025
Current care in multiple sclerosis (MS) primarily relies on infrequently obtained data such as magnetic resonance imaging, clinical laboratory tests or clinical history, resulting in subtle changes that may occur between visits being missed. Mobile t...
Construction of a machine learning-based risk prediction model for depression in middle-aged and elderly patients with cardiovascular metabolic diseases in China: a longitudinal study.
BMC public health
May 23, 2025
BACKGROUND: The incidence of cardiovascular metabolic diseases (CMD) continues to rise among middle-aged and elderly populations, affecting not only physical health but also significantly increasing the risk of depression. This study aims to construc...
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