AIMC Topic: Machine Learning

Clear Filters Showing 171 to 180 of 32510 articles

Effect of discontinuing antipsychotic medications on the risk of hospitalization in long-term care: a machine learning-based analysis.

BMC medicine Aug 20, 2025
BACKGROUND: Antipsychotic medications are frequently prescribed to older residents of long-term care facilities (LTCFs) despite their limited efficacy and considerable safety risks. While discontinuation of these drugs might help reduce their associa...
Hospitalization Aged Aged, 80 and over Male Humans Machine Learning Retrospective Studies Female Long-Term Care Registries Antipsychotic Agents Finland
View on PubMed DOI

Integrating miRNA profiling and machine learning for improved prostate cancer diagnosis.

Scientific reports Aug 20, 2025
Prostate cancer (PCa) diagnosis remains challenging due to overlapping clinical features with benign prostatic hyperplasia (BPH) and limitations of existing diagnostic tools like PSA tests, which yield high false-positive rates. This study investigat...
Prostatic Hyperplasia Prostatic Neoplasms Aged Biomarkers, Tumor Male Middle Aged Gene Expression Profiling Gene Expression Regulation, Neoplastic MicroRNAs Humans Machine Learning Prospective Studies
View on PubMed DOI

Predicting in-hospital mortality in ICU patients with lymphoma using machine learning models.

PloS one Aug 20, 2025
BACKGROUND: Lymphoma is a severe condition with high mortality rates, often requiring ICU admission. Traditional risk stratification tools like SOFA and APACHE scores struggle to capture complex clinical interactions. Machine learning (ML) models off...
Machine Learning Retrospective Studies Intensive Care Units Female Humans Middle Aged Hospital Mortality ROC Curve Lymphoma Risk Factors Aged Adult Male
View on PubMed DOI

A machine learning approach to predict self-efficacy in breast cancer survivors.

BMC medical informatics and decision making Aug 19, 2025
PURPOSE: To determine predictors of self-efficacy in breast cancer survivors and identify vulnerable groups.
Self Efficacy Aged Humans Turkey Adult Machine Learning Cancer Survivors Breast Neoplasms Female Middle Aged
View on PubMed DOI

Predictive value of anthropometric indices for incident of dyslipidemia: a large population-based study.

Population health metrics Aug 19, 2025
INTRODUCTION: Dyslipidemia as a modifiable risk factor for chronic non-communicable diseases has become a worldwide concern. We aim to explore different anthropometric measures as predictors of dyslipidemia using various machine learning methods.
Middle Aged Incidence Body Mass Index Predictive Value of Tests Aged Adult Male Humans Machine Learning Female Risk Factors Anthropometry Dyslipidemias Waist-Hip Ratio Waist-Height Ratio
View on PubMed DOI

Construction of a feature gene and machine prediction model for inflammatory bowel disease based on multichip joint analysis.

Journal of translational medicine Aug 19, 2025
BACKGROUND: Inflammatory bowel disease (IBD) is a chronic nonspecific inflammatory disorder triggered by immune responses and genetic factors. Currently, there is no cure for IBD, and its etiology remains unclear. As a result, early detection and dia...
Gene Ontology Inflammatory Bowel Diseases Gene Expression Profiling Support Vector Machine Humans Neural Networks, Computer Machine Learning Algorithms
View on PubMed DOI

Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification.

Scientific reports Aug 19, 2025
Eye diseases can affect vision and well-being, so early, accurate diagnosis is crucial to prevent serious impairment. Deep learning models have shown promise for automating the diagnosis of eye diseases from images. However, current methods mostly us...
Glaucoma Machine Learning Algorithms Deep Learning Image Processing, Computer-Assisted Principal Component Analysis Eye Diseases Humans Diabetic Retinopathy Neural Networks, Computer Ensemble Learning
View on PubMed DOI

Optimized machine learning based comparative analysis of predictive models for classification of kidney tumors.

Scientific reports Aug 19, 2025
The kidney is an important organ that helps clean the blood by removing waste, extra fluids, and harmful substances. It also keeps the balance of minerals in the body and helps control blood pressure. But if the kidney gets sick, like from a tumor, i...
Algorithms Support Vector Machine Decision Trees Kidney Neoplasms Humans Machine Learning
View on PubMed DOI

Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations.

Scientific reports Aug 19, 2025
Sepsis is a condition resulting from the uncontrolled immune response to infection, leading to widespread inflammatory damage and potentially fatal organ dysfunction. Currently, there is a lack of specific prevention and treatment strategies for seps...
Child Computational Biology Apoptosis Cell Death Gene Expression Profiling Sepsis Child, Preschool Humans Machine Learning Biomarkers Female Infant, Newborn Adult Male Infant
View on PubMed DOI

Predicting cancer risk using machine learning on lifestyle and genetic data.

Scientific reports Aug 19, 2025
Cancer remains one of the leading causes of mortality worldwide, where early detection significantly improves patient outcomes and reduces treatment burden. This study investigates the application of Machine Learning (ML) techniques to predict cancer...
Neoplasms Genetic Predisposition to Disease Support Vector Machine Life Style Male Middle Aged Risk Assessment Humans Machine Learning Algorithms Female Risk Factors Aged Adult
View on PubMed DOI
Popular Topics
Recent Journals