AIMC Topic: Support Vector Machine

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A labeled medical records corpus for the timely detection of rare diseases using machine learning approaches.

Scientific reports Feb 26, 2025
Rare diseases (RDs) are a group of pathologies that individually affect less than 1 in 2000 people but collectively impact around 7% of the world's population. Most of them affect children, are chronic and progressive, and have no specific treatment....
Humans Deep Learning Machine Learning Support Vector Machine Medical Records Rare Diseases
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Predicting 90-day risk of urinary tract infections following urostomy in bladder cancer patients using machine learning and explainability.

Scientific reports Feb 25, 2025
This research aims to design and validate a machine learning model to predict the probability of urinary tract infections within 90 days post-urostomy in bladder cancer patients. Clinical and follow-up information from 317 patients who had urostomy p...
Postoperative Complications Support Vector Machine Urinary Bladder Neoplasms Urinary Tract Infections Aged Aged, 80 and over Male Middle Aged Algorithms Female Risk Factors Humans Machine Learning
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Deep transfer learning radiomics for distinguishing sinonasal malignancies: a preliminary MRI study.

Future oncology (London, England) Feb 24, 2025
PURPOSE: This study aimed to assess the diagnostic accuracy of combining MRI hand-crafted (HC) radiomics features with deep transfer learning (DTL) in identifying sinonasal squamous cell carcinoma (SCC), adenoid cystic carcinoma (ACC), and non-Hodgki...
Diagnosis, Differential Lymphoma, Non-Hodgkin Image Interpretation, Computer-Assisted Paranasal Sinus Neoplasms ROC Curve Support Vector Machine Magnetic Resonance Imaging Carcinoma, Adenoid Cystic Female Aged Adult Radiomics Male Middle Aged Deep Learning Humans Retrospective Studies
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Atrial fibrillation risk model based on LASSO and SVM algorithms and immune infiltration of key mitochondrial energy metabolism genes.

Scientific reports Feb 24, 2025
Atrial fibrillation (AF) is a predominant cardiac arrhythmia with unclear etiology. This study used bioinformatics and machine learning to explore the relationship between mitochondrial energy metabolism-related genes (MEMRGs) and immune infiltration...
Humans Algorithms Gene Expression Profiling Mitochondria Atrial Fibrillation Energy Metabolism Computational Biology Support Vector Machine Databases, Genetic
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Cognitive performance classification of older patients using machine learning and electronic medical records.

Scientific reports Feb 24, 2025
Dementia rates are projected to increase significantly by 2050, posing considerable challenges for healthcare systems worldwide. Developing efficient diagnostic tools is critical, and machine learning (ML) algorithms have shown potential for improvin...
Support Vector Machine Activities of Daily Living Machine Learning Cognitive Dysfunction Algorithms Dementia Electronic Health Records Cognition Female Aged Humans Aged, 80 and over Male Case-Control Studies
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Optimizing Bi-LSTM networks for improved lung cancer detection accuracy.

PloS one Feb 24, 2025
Lung cancer remains a leading cause of cancer-related deaths worldwide, with low survival rates often attributed to late-stage diagnosis. To address this critical health challenge, researchers have developed computer-aided diagnosis (CAD) systems tha...
Support Vector Machine Algorithms Diagnosis, Computer-Assisted Deep Learning Humans Lung Neoplasms Neural Networks, Computer Machine Learning
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Feasibility study of texture-based machine learning approach for early detection of neonatal jaundice.

Scientific reports Feb 22, 2025
Untreated neonatal jaundice can have severe consequences. Effective screening for neonatal jaundice can prevent long-term complications in infants. Non-invasive approaches may be beneficial in settings with limited resources. This feasibility study e...
Infant, Newborn Male Image Processing, Computer-Assisted Support Vector Machine Humans Machine Learning Female Feasibility Studies Neonatal Screening Early Diagnosis Jaundice, Neonatal Bilirubin
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Multi-feature fusion method combining brain functional connectivity and graph theory for schizophrenia classification and neuroimaging markers screening.

Journal of psychiatric research Feb 21, 2025
BACKGROUND: The abnormalities in brain functional connectivity (FC) and graph topology (GT) in patients with schizophrenia (SZ) are unclear. Researchers proposed machine learning algorithms by combining FC or GT to identify SZ from healthy controls. ...
Female Young Adult Adult Male Connectome Support Vector Machine Humans Magnetic Resonance Imaging Nerve Net Machine Learning Schizophrenia Brain
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Pathology-based deep learning features for predicting basal and luminal subtypes in bladder cancer.

BMC cancer Feb 20, 2025
BACKGROUND: Bladder cancer (BLCA) exists a profound molecular diversity, with basal and luminal subtypes having different prognostic and therapeutic outcomes. Traditional methods for molecular subtyping are often time-consuming and resource-intensive...
Urinary Bladder Neoplasms Kaplan-Meier Estimate Female Humans Male Aged Prognosis Middle Aged Biomarkers, Tumor Deep Learning Support Vector Machine
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Reliability of noninvasive hyperspectral tongue diagnosis for menstrual diseases using machine learning method.

Scientific reports Feb 20, 2025
The outward appearance of human tongue can reflect changes in blood circulation caused by pathological states, and it has been used as an assisted method for clinical diseases diagnosis for thousands of years in China. The purpose of this study is to...
Neural Networks, Computer Machine Learning Algorithms Female Humans Tongue Hyperspectral Imaging Menstruation Menstruation Disturbances Reproducibility of Results Young Adult Adult Support Vector Machine
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