AIMC Topic: Longitudinal Studies

Clear Filters Showing 21 to 30 of 486 articles

Explainable machine learning framework for biomarker discovery by combining biological age and frailty prediction.

Scientific reports Apr 22, 2025
Biological age (BA) and frailty represent two distinct health measures that offer valuable insights into the aging process. Comparing and analyzing blood-based biomarkers from the machine learning (ML) predictors of BA and frailty helps deepen our un...
Male Aging Middle Aged China Longitudinal Studies Frailty Cystatin C Machine Learning Biomarkers Female Aged Aged, 80 and over Humans
View on PubMed DOI

Integrating Machine Learning and Follow-Up Variables to Improve Early Detection of Hepatocellular Carcinoma in Tyrosinemia Type 1: A Multicenter Study.

International journal of molecular sciences Apr 18, 2025
Hepatocellular carcinoma (HCC) is a major complication of tyrosinemia type 1 (HT-1), an inborn error of metabolism affecting tyrosine catabolism. The risk of HCC is higher in late diagnoses despite treatment. Alpha-fetoprotein (AFP) is widely used to...
Alkaline Phosphatase Alanine Transaminase Tyrosinemias Adult Retrospective Studies Humans Adolescent Biomarkers, Tumor Carcinoma, Hepatocellular Female Machine Learning Child, Preschool Infant, Newborn Longitudinal Studies Male Child Young Adult Follow-Up Studies Middle Aged Liver Neoplasms Early Detection of Cancer Infant alpha-Fetoproteins
View on PubMed DOI

Predicting depression and unravelling its heterogeneous influences in middle-aged and older people populations: a machine learning approach.

BMC psychology Apr 17, 2025
BACKGROUND: Aging has become a global trend, and depression, as an accompanying issue, poses a significant threat to the health of middle-aged and older adults. Existing studies primarily rely on statistical methods such as logistic regression for sm...
Humans Machine Learning Longitudinal Studies Male Female Aging Risk Factors Middle Aged Aged China Aged, 80 and over Depression
View on PubMed DOI

Estimated glucose disposal rate outperforms other insulin resistance surrogates in predicting incident cardiovascular diseases in cardiovascular-kidney-metabolic syndrome stages 0-3 and the development of a machine learning prediction model: a nationwide prospective cohort study.

Cardiovascular diabetology Apr 16, 2025
BACKGROUND: The American Heart Association recently introduced the concept of cardiovascular-kidney-metabolic (CKM) syndrome, highlighting the increasing importance of the complex interplay between metabolic, renal, and cardiovascular diseases (CVD)....
Insulin Resistance Longitudinal Studies Metabolic Syndrome Kidney Diseases Predictive Value of Tests Risk Assessment China Blood Glucose Incidence Time Factors Aged Male Cardiovascular Diseases Middle Aged Humans Machine Learning Decision Support Techniques Prospective Studies Biomarkers Prognosis Female Risk Factors
View on PubMed DOI

Longitudinal brain age in first-episode mania youth treated with lithium or quetiapine.

European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology Apr 13, 2025
It is unclear if lithium and quetiapine have neuroprotective effects, especially in early stages of bipolar and schizoaffective disorders. Here, an age-related multivariate brain structural measure (i.e., brain-PAD) at baseline and changes in respons...
Bipolar Disorder Antimanic Agents Treatment Outcome Longitudinal Studies Magnetic Resonance Imaging Young Adult Adult Male Adolescent Humans Psychotic Disorders Brain Quetiapine Fumarate Female Antipsychotic Agents Mania
View on PubMed DOI

Machine learning-driven risk prediction and feature identification for major depressive disorder and its progression: an exploratory study based on five years of longitudinal data from the US national health survey.

Journal of affective disorders Apr 10, 2025
BACKGROUND: Major depressive disorder (MDD) presents significant public health challenges due to its increasing prevalence and complex risk factors. This study systematically analyzed data from 2019 to 2023 to explore trends in MDD incidence, symptom...
Disease Progression Depressive Disorder, Major Social Support Incidence Health Surveys Adult Male Middle Aged Risk Assessment United States Longitudinal Studies Humans Machine Learning Female Risk Factors
View on PubMed DOI

Longitudinal study on the impact of short-term radiological interpretation training on resting-state brain network hubs.

Trends in neuroscience and education Apr 5, 2025
Radiological expertise develops through extensive experience in specific imaging modalities. While previous research has focused on long-term learning and neural mechanisms of expertise, the effects of short-term radiological training on resting-stat...
Humans Brain Female Adult Male Radiology Nerve Net Support Vector Machine Longitudinal Studies Magnetic Resonance Imaging Brain Mapping
View on PubMed DOI

Prediction of first attempt of suicide in early adolescence using machine learning.

Journal of affective disorders Apr 4, 2025
BACKGROUND: Suicide is the second leading cause of death among early adolescents, yet the first onset of suicide attempts during this critical developmental period remains poorly understood. This study aimed to identify key characteristics associated...
Female Risk Factors Male Suicide, Attempted Adolescent Humans Machine Learning Suicidal Ideation Child United States Longitudinal Studies
View on PubMed DOI

Cardiometabolic index predicts cardiovascular events in aging population: a machine learning-based risk prediction framework from a large-scale longitudinal study.

Frontiers in endocrinology Apr 1, 2025
BACKGROUND: While the Cardiometabolic Index (CMI) serves as a novel marker for assessing adipose tissue distribution and metabolic function, its prognostic utility for cardiovascular disease (CVD) events remains incompletely understood. This investig...
Nomograms Humans Cardiovascular Diseases Female Machine Learning Middle Aged Longitudinal Studies Risk Factors Risk Assessment Biomarkers Follow-Up Studies Aged Incidence Prognosis Male Aging
View on PubMed DOI

LA-ResUNet: Attention-based network for longitudinal liver tumor segmentation from CT images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 27, 2025
Longitudinal liver tumor segmentation plays a fundamental role in studying and monitoring the progression of associated diseases. The correlation and differences between longitudinal data can further improve segmentation performance, which are inevit...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Liver Neoplasms Longitudinal Studies Humans
View on PubMed DOI
Popular Topics
Recent Journals