AIMC Topic: Support Vector Machine

Clear Filters Showing 11 to 20 of 4777 articles

Machine learning-based prediction model for post-stroke cerebral-cardiac syndrome: a risk stratification study.

Scientific reports Aug 20, 2025
Cerebral-cardiac syndrome (CCS) is a severe cardiac complication following acute ischemic stroke, often associated with adverse outcomes. This study developed and validated a machine learning (ML) model to predict CCS using clinical, laboratory, and ...
Retrospective Studies Female Risk Factors Humans Machine Learning Risk Assessment Logistic Models Support Vector Machine Stroke Aged Male Middle Aged
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...
Inflammatory Bowel Diseases Gene Expression Profiling Support Vector Machine Neural Networks, Computer Machine Learning Algorithms Gene Ontology Humans
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

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...
Adult Life Style Male Middle Aged Female Humans Genetic Predisposition to Disease Risk Assessment Risk Factors Machine Learning Neoplasms Algorithms Aged Support Vector Machine
View on PubMed DOI

Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis.

Scientific reports Aug 11, 2025
Recent innovations in medical imaging have markedly improved brain tumor identification, surpassing conventional diagnostic approaches that suffer from low resolution, radiation exposure, and limited contrast. Magnetic Resonance Imaging (MRI) is pivo...
Deep Learning Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms Brain Neoplasms Humans
View on PubMed DOI

Serum peptide biomarkers by MALDI-TOF MS coupled with machine learning for diagnosis and classification of hepato-pancreato-biliary cancers.

Scientific reports Aug 9, 2025
This study aimed to investigate the potential of peptide mass fingerprints (PMFs) of the serum peptidome using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), in combination with machine learning algorithm...
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Biliary Tract Neoplasms Biomarkers, Tumor Male Middle Aged Support Vector Machine Peptides Female Pancreatic Neoplasms Humans Liver Neoplasms Aged Machine Learning Adult
View on PubMed DOI

Quantitative image analysis of the extracellular matrix of esophageal squamous cell carcinoma and high grade dysplasia via two-photon microscopy.

Scientific reports Aug 7, 2025
Squamous cell carcinoma (SCC) and high-grade dysplasia (HGD) are two different pathological entities; however, they sometimes share similarities in histological structure depending on the context. Thus, distinguishing between the two may require care...
Microscopy, Fluorescence, Multiphoton Esophageal Neoplasms Extracellular Matrix Esophageal Squamous Cell Carcinoma Humans Male Female Middle Aged Carcinoma, Squamous Cell Image Processing, Computer-Assisted Aged Support Vector Machine
View on PubMed DOI

Reducing bias in coronary heart disease prediction using Smote-ENN and PCA.

PloS one Aug 7, 2025
Coronary heart disease (CHD) is a major cardiovascular disorder that poses significant threats to global health and is increasingly affecting younger populations. Its treatment and prevention face challenges such as high costs, prolonged recovery per...
Algorithms Male Support Vector Machine Decision Trees Principal Component Analysis Bias Humans Coronary Disease Machine Learning
View on PubMed DOI

Improved early-stage crop classification using a novel fusion-based machine learning approach with Sentinel-2A and Landsat 8-9 data.

Environmental monitoring and assessment Aug 6, 2025
Crop classification during the early stages is challenging because of the striking similarity in spectral and texture features among various crops. To improve classification accuracy, this study proposes a novel fusion-based deep learning approach. T...
Crops, Agricultural Neural Networks, Computer Deep Learning Satellite Imagery Environmental Monitoring Machine Learning Support Vector Machine
View on PubMed DOI

Machine learning enables legal risk assessment in internet healthcare using HIPAA data.

Scientific reports Aug 5, 2025
This study explores how artificial intelligence technologies can enhance the regulatory capacity for legal risks in internet healthcare based on a machine learning (ML) analytical framework and utilizes data from the health insurance portability and ...
United States Support Vector Machine Internet Health Insurance Portability and Accountability Act Humans Delivery of Health Care Machine Learning Databases, Factual Algorithms Risk Assessment
View on PubMed DOI
Popular Topics
Recent Journals