AIMC Topic: Machine Learning
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Exploring the potential relationship between kidney disease index and cognitive dysfunction: a machine learning approach with NHANES data.
BMC geriatrics
Aug 26, 2025
OBJECTIVE: This study investigates the relationship between the Kidney Disease Index (KDI) and cognitive function, evaluating its potential as a predictive marker for cognitive impairment in older adults. We also compare the performance of KDI with t...
Screening of hub genes and immunocytes related to tendon injury based on bioinformatics and machine learning models.
Scientific reports
Aug 26, 2025
Tendon injury is a common and challenging clinical problem, and its healing process involves complex cellular and biological factors. Therefore, this study aims to reveal the mechanism of tendon healing and provide theoretical basis for clinical trea...
Advanced smart human activity recognition system for disabled people using artificial intelligence with snake optimizer techniques.
Scientific reports
Aug 26, 2025
Human Activity Recognition (HAR) has become an active research area in recent years due to its applicability in various domains and the growing need for convenient facilities and intelligent homes for the elderly. Physical activity tends to decrease ...
Identifying significant features in adversarial attack detection framework using federated learning empowered medical IoT network security.
Scientific reports
Aug 26, 2025
The expansion of the Internet of Medical Things (IoHT) presents significant advantages for healthcare over improved data-driven insights and connectivity and offers critical cybersecurity challenges. Attacks are a serious risk for neural network secu...
Common Variable Immunodeficiency Disorder: A Decade of Insights from a Cohort of 150 Patients in India and the Use of Machine Learning Algorithms to Predict Severity.
Journal of clinical immunology
Aug 26, 2025
Common Variable Immunodeficiency (CVID) is a heterogeneous disorder characterized by impaired antibody production and recurrent infections. In this study we investigated the clinical and immunological features of CVID in Indian patients and develops ...
Assessment of pulse wave velocity through weighted visibility graph metrics from photoplethysmographic signals.
Scientific reports
Aug 26, 2025
Pulse Wave Velocity (PWV) is a widely recognized non-invasive biomarker of arterial stiffness and an independent predictor of cardiovascular risk, including atherosclerosis, hypertension, and vascular aging. Accurate, accessible estimation of PWV is,...
Identification of core genes in the extracellular matrix and the regulatory mechanisms of the immune microenvironment in idiopathic pulmonary fibrosis using WGCNA and machine learning methods.
PloS one
Aug 26, 2025
OBJECTIVE: This research aims to detect genes associated with the extracellular matrix (ECM) in idiopathic pulmonary fibrosis (IPF) using bioinformatics techniques and investigate their relationships with immune infiltration, with the goal of identif...
Revealing potential interfering genes between abdominal aortic aneurysm and periodontitis through machine learning and bioinformatics analysis.
PloS one
Aug 26, 2025
This study aimed to identify potential interacting genes between abdominal aortic aneurysm (AAA) and periodontitis. To achieve this, we obtained datasets of AAA and periodontitis from the GEO database, conducted differential analysis on the AAA datas...
Immunophenotyping identifies key immune biomarkers for coronary artery disease through machine learning.
PloS one
Aug 26, 2025
INTRODUCTION: The differences among immune subtypes in coronary artery disease (CAD), their interrelationships, and the associated immune biomarkers remain incompletely understood.
Causal effect of conventional anti-dementia drugs on economic burden: an orthogonal double/debiased machine learning approach.
BMC geriatrics
Aug 25, 2025
BACKGROUND: The Inflation Reduction Act (IRA) did not introduce a cap on out-of-pocket (OOP) for newly approved Alzheimer's Disease (AD) drugs, such as lecanemab which is covered under Medicare Part B. Therefore, expanding the use of conventional ant...
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