AIMC Topic: Age Factors

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Age-related variation in hemoglobin glycation index and stroke mortality: mediation and machine learning in a cohort study.

Scientific reports Aug 2, 2025
To investigate the associations between both age and the hemoglobin glycation index (HGI) and the 30-day and 1-year mortality in ischemic stroke (IS) patients and to analyze the mediating effect of the HGI on the relationship between age and mortalit...
Humans Machine Learning Female Risk Factors Age Factors Ischemic Stroke Glycated Hemoglobin Stroke Kaplan-Meier Estimate Aged Aged, 80 and over Male Middle Aged Cohort Studies
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Identification of age-specific risk factors for hyperuricemia: a machine learning-driven stratified analysis in health examination cohorts.

BMC medical informatics and decision making Jul 28, 2025
BACKGROUND: Hyperuricemia (HUA) as a global public health challenge, although its overall epidemiological characteristics have been widely reported, its age-specific risk pattern remains controversial. This study aims to reveal the risk factors of HU...
Adolescent Age Factors Hyperuricemia Cross-Sectional Studies Male Middle Aged Risk Assessment China Humans Machine Learning Female Risk Factors Young Adult Adult
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Differential Analysis of Age, Gender, Race, Sentiment, and Emotion in Substance Use Discourse on Twitter During the COVID-19 Pandemic: A Natural Language Processing Approach.

JMIR infodemiology Jul 28, 2025
BACKGROUND: User demographics are often hidden in social media data due to privacy concerns. However, demographic information on substance use (SU) can provide valuable insights, allowing public health policy makers to focus on specific cohorts and d...
Racial Groups Social Media Natural Language Processing Substance-Related Disorders Ethnicity Sex Factors COVID-19 Female SARS-CoV-2 Young Adult Adult Male Middle Aged Adolescent Age Factors Emotions Humans Pandemics
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Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study.

JMIR cancer Jun 19, 2025
BACKGROUND: Colorectal cancer is now the leading cause of cancer-related deaths among young Americans. Accurate early prediction and a thorough understanding of the risk factors for early-onset colorectal cancer (EOCRC) are vital for effective preven...
Case-Control Studies Age Factors Early Detection of Cancer Age of Onset Risk Factors Humans Adult Machine Learning Colorectal Neoplasms Electronic Health Records Male Female Middle Aged
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A machine-learning-based approach to predict early hallmarks of progressive hearing loss.

Hearing research Jun 6, 2025
Machine learning (ML) techniques are increasingly being used to improve disease diagnosis and treatment. However, the application of these computational approaches to the early diagnosis of age-related hearing loss (ARHL), the most common sensory def...
Humans Machine Learning Phenotype Female Disease Models, Animal Mice, Inbred C57BL Predictive Value of Tests Signal Processing, Computer-Assisted Cadherins Animals Male Disease Progression Mice Age Factors Early Diagnosis Hearing Auditory Threshold Evoked Potentials, Auditory, Brain Stem Presbycusis
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Uncovering nonlinear patterns in time-sensitive prehospital breathing emergencies: an exploratory machine learning study.

BMC medical informatics and decision making Jun 3, 2025
BACKGROUND: Timely prehospital care is crucial for patients presenting with high-risk time-sensitive (HRTS) conditions. However, the interplay between response time and demographic factors in patients with breathing problems remains insufficiently un...
Humans Machine Learning Retrospective Studies Sex Factors Middle Aged Female Emergencies Sweden Nonlinear Dynamics Aged Time Factors Adult Age Factors Male Emergency Medical Services
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Developing cardiac digital twin populations powered by machine learning provides electrophysiological insights in conduction and repolarization.

Nature cardiovascular research May 16, 2025
Large-cohort imaging and diagnostic studies often assess cardiac function but overlook underlying biological mechanisms. Cardiac digital twins (CDTs) are personalized physics-constrained and physiology-constrained in silico representations, uncoverin...
Electrocardiography Age Factors Magnetic Resonance Imaging Action Potentials Obesity Predictive Value of Tests Signal Processing, Computer-Assisted Heart Conduction System Heart Rate Sex Factors Female Aged Adult Humans Male Machine Learning Middle Aged Myocardial Ischemia Phenotype
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Identification of Risk Group for Root Caries and Analysis of Associated Factors in Older Adults Using Unsupervised Machine Learning Clustering.

Clinical interventions in aging Apr 24, 2025
PURPOSE: This study aimed to identify the high-risk group for root caries using unsupervised machine learning and to explore the associated factors.
Age Factors Cluster Analysis Unsupervised Machine Learning Humans Root Caries Cross-Sectional Studies Female Male Risk Factors Risk Assessment Aged ROC Curve Logistic Models
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The Association of Elevated Depression Levels and Life's Essential 8 on Cardiovascular Health With Predicted Machine Learning Models and Interpretations: Evidence From NHANES 2007-2018.

Depression and anxiety Apr 10, 2025
The association between depression severity and cardiovascular health (CVH) represented by Life's Essential 8 (LE8) was analyzed, with a novel focus on ranked levels and different ages. Machine learning (ML) algorithms were also selected aimed at pr...
United States Age Factors Cardiovascular Diseases Middle Aged Severity of Illness Index Depression Nutrition Surveys Humans Machine Learning Female Aged Adult Male
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Enhancing diagnostic accuracy for HBV-related cirrhosis progression: predictive modeling using combined Golgi protein 73 and α1-microglobulin for the transition from nondecompensated to decompensated cirrhosis.

European journal of gastroenterology & hepatology Mar 21, 2025
BACKGROUND AND AIMS: Chronic hepatitis B poses a major health risk, especially its progression to decompensated cirrhosis. Early prediction is crucial for better outcomes. This study evaluated the predictive power of Golgi protein 73 (GP73), α1-micro...
Adult Alpha-Globulins Male Middle Aged Disease Progression Predictive Value of Tests Humans Case-Control Studies Hepatitis B, Chronic Logistic Models Machine Learning Platelet Count Liver Cirrhosis Biomarkers Alanine Transaminase Membrane Proteins Female Aspartate Aminotransferases Age Factors Aged Decision Trees
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