AIMC Topic: Humans

Clear Filters Showing 611 to 620 of 87842 articles

Machine learning-based integration identifies plasma cells-related gene signature ST6GAL1 in idiopathic pulmonary fibrosis.

BMC pulmonary medicine Jul 2, 2025
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a rare, progressive, and fibrotic disease with poor prognosis that lacks treatment options. As a major component of the lung adaptive immune system, plasma cells play a crucial regulatory role during...
Male Humans Gene Expression Profiling Mice Transcriptome Machine Learning Plasma Cells Female Idiopathic Pulmonary Fibrosis Prognosis Sialyltransferases Aged Animals
View on PubMed DOI

Spatial analysis of county-level determinants of overdose mortality in the United States using spatial machine learning.

BMC public health Jul 2, 2025
In recent years, there has been a growing body of literature on identifying effective determinants for modeling the spatial variation of overdose rates, addressing this emerging public health concern globally. We compiled a range of widely recognized...
Spatial Analysis Drug Overdose Humans Machine Learning United States
View on PubMed DOI

Crisis-line workers' perspectives on AI in suicide prevention: a qualitative exploration of risk and opportunity.

BMC public health Jul 2, 2025
BACKGROUND: Crisis support services offer crucial intervention for individuals in acute distress, providing timely access to trained volunteers whose human connection is key to the effectiveness of these services. However, there are significant dispa...
Hotlines United Kingdom Volunteers Crisis Intervention Humans Middle Aged Artificial Intelligence Qualitative Research Interviews as Topic Female Suicide Prevention Adult Male
View on PubMed DOI

Enhanced machine learning models for predicting three-year mortality in Non-STEMI patients aged 75 and above.

BMC geriatrics Jul 2, 2025
BACKGROUND: Non-ST segment elevation myocardial infarction (Non-STEMI) is a severe cardiovascular condition mainly affecting individuals aged 75 and above, who are at higher risk of mortality due to age-related vulnerabilities and other health issues...
Female Aged Aged, 80 and over Predictive Value of Tests Myocardial Infarction Male Cohort Studies Humans Machine Learning Prognosis Mortality
View on PubMed DOI

Development of an electronic health record-based Human Immunodeficiency Virus (HIV) risk prediction model for women, incorporating social determinants of health.

BMC public health Jul 2, 2025
BACKGROUND: Human Immunodeficiency Virus (HIV) pre-exposure prophylaxis (PrEP) prevents HIV transmission but has low uptake among women. Identifying women who could benefit from PrEP remains a challenge. This study developed a women-specific model to...
Risk Assessment Case-Control Studies HIV Infections Southeastern United States Social Determinants of Health Electronic Health Records Pre-Exposure Prophylaxis Female Humans Adult Machine Learning Middle Aged
View on PubMed DOI

Methodological conduct and risk of bias in studies on prenatal birthweight prediction models using machine learning techniques: a systematic review.

BMC pregnancy and childbirth Jul 2, 2025
OBJECTIVE: To assess the methodological quality and the risk of bias, of studies that developed prediction models using Machine Learning (ML) techniques to estimate prenatal birthweight.
Birth Weight Fetal Weight Female Infant, Newborn Reproducibility of Results Bias Machine Learning Research Design Pregnancy Humans
View on PubMed DOI

Intelligent diagnosis model for chest X-ray images diseases based on convolutional neural network.

BMC medical imaging Jul 2, 2025
To address misdiagnosis caused by feature coupling in multi-label medical image classification, this study introduces a chest X-ray pathology reasoning method. It combines hierarchical attention convolutional networks with a multi-label decoupling lo...
Radiographic Image Interpretation, Computer-Assisted Lung Diseases Radiography, Thoracic Humans Lung Convolutional Neural Networks Neural Networks, Computer Algorithms
View on PubMed DOI

Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana.

BMC pregnancy and childbirth Jul 2, 2025
BACKGROUND: Machine learning algorithms may contribute to improving maternal and child health, including determining the suitability of caesarean section (CS) births in low-resource countries. Despite machine learning algorithms offering a more robus...
Humans Machine Learning Algorithms Retrospective Studies Young Adult Adult Cross-Sectional Studies ROC Curve Pregnancy Female Cesarean Section Bayes Theorem Ghana Hospitals, District Decision Support Systems, Clinical Logistic Models Support Vector Machine
View on PubMed DOI

Interpretable machine learning for depression recognition with spatiotemporal gait features among older adults: a cross-sectional study in Xiamen, China.

BMC geriatrics Jul 2, 2025
OBJECTIVE: Depression in older adults is a growing public health concern, yet there is still a lack of convenient and real-time methods for depressive symptoms identification. This study aims to develop a gait-based depression recognition method for ...
China Depression Gait Machine Learning Humans Female Male Aged, 80 and over Aged Middle Aged Cross-Sectional Studies
View on PubMed DOI

Deep learning-based quantitative analysis of glomerular morphology in IgA nephropathy whole slide images and its prognostic implications.

Scientific reports Jul 2, 2025
Kidney pathology of immunoglobulin A nephropathy (IgAN), which is the key finding of both diagnosis and risk stratification, involves labor-intensive manual interpretation as well as unavoidable interpreter-dependent variabilities. We propose artific...
Humans Prognosis Female Adult Deep Learning Image Processing, Computer-Assisted Kidney Glomerulus Glomerulonephritis, IGA Male Middle Aged Disease Progression
View on PubMed DOI
Popular Topics
Recent Journals