AIMC Topic: Support Vector Machine

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Electrocardiographic Discrimination of Long QT Syndrome Genotypes: A Comparative Analysis and Machine Learning Approach.

Sensors (Basel, Switzerland) Apr 2, 2025
Long QT syndrome (LQTS) presents a group of inheritable channelopathies with prolonged ventricular repolarization, leading to syncope, ventricular tachycardia, and sudden death. Differentiating LQTS genotypes is crucial for targeted management and tr...
Support Vector Machine Long QT Syndrome Male Genotype Electrocardiography Female Humans Adult Machine Learning
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Enhanced prediction of ventilator-associated pneumonia in patients with traumatic brain injury using advanced machine learning techniques.

Scientific reports Apr 2, 2025
Ventilator-associated pneumonia significantly increases morbidity, mortality, and healthcare costs among patients with traumatic brain injury. Accurately predicting risk can facilitate earlier interventions and improve patient outcomes. This study le...
Pneumonia, Ventilator-Associated Middle Aged Support Vector Machine Brain Injuries, Traumatic Machine Learning Algorithms Female Adult Male Risk Factors Aged Humans
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Interpretable machine learning model for early prediction of disseminated intravascular coagulation in critically ill children.

Scientific reports Apr 2, 2025
Disseminated intravascular coagulation (DIC) is a thrombo-hemorrhagic disorder that can be life-threatening in critically ill children, and the quest for an accurate and efficient method for early DIC prediction is of paramount importance. Candidate ...
Humans Machine Learning Critical Illness Infant Adolescent Child, Preschool Child Female Infant, Newborn Male Logistic Models Support Vector Machine Disseminated Intravascular Coagulation
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Enlightened prognosis: Hepatitis prediction with an explainable machine learning approach.

PloS one Apr 2, 2025
Hepatitis is a widespread inflammatory condition of the liver, presenting a formidable global health challenge. Accurate and timely detection of hepatitis is crucial for effective patient management, yet existing methods exhibit limitations that unde...
Hepatitis Logistic Models Humans Support Vector Machine Machine Learning Decision Trees Prognosis
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Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning.

BMC medical informatics and decision making Apr 1, 2025
BACKGROUND: Cognitive impairment is common after a stroke, but it can often go undetected. In this study, we investigated whether using gait and dual tasks could help detect cognitive impairment after stroke.
Neuropsychological Tests Gait Aged Cerebrovascular Disorders Aged, 80 and over Gait Analysis Sensitivity and Specificity Humans Cognitive Dysfunction Male Machine Learning Support Vector Machine Female Middle Aged
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Efficient multi-task learning with instance selection for biomedical NLP.

Computers in biology and medicine Mar 31, 2025
BACKGROUND: Biomedical natural language processing (NLP) increasingly relies on large language models and extensive datasets, presenting significant computational challenges.
Humans Support Vector Machine Natural Language Processing Machine Learning
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Construction of enhanced MRI-based radiomics models using machine learning algorithms for non-invasive prediction of IL7R expression in high-grade gliomas and its prognostic value in clinical practice.

Journal of translational medicine Mar 31, 2025
BACKGROUND: High-grade gliomas are among the most aggressive and deadly brain tumors, highlighting the critical need for improved prognostic markers and predictive models. Recent studies have identified the expression of IL7R as a significant risk fa...
Receptors, Interleukin-7 Interleukin-7 Receptor alpha Subunit Aged Proportional Hazards Models Glioma Humans Algorithms Adult Multivariate Analysis Male Support Vector Machine Machine Learning Prognosis Radiomics Kaplan-Meier Estimate Magnetic Resonance Imaging Middle Aged Brain Neoplasms Female Neoplasm Grading ROC Curve
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Machine learning models for pancreatic cancer diagnosis based on microbiome markers from serum extracellular vesicles.

Scientific reports Mar 31, 2025
Pancreatic cancer (PC) is a fatal disease with an extremely low 5-year survival rate, mainly because of its poor detection rate in early stages. Given emerging evidence of the relationship between microbiota composition and diseases, this study aims ...
Machine Learning Female Aged Middle Aged Extracellular Vesicles Biomarkers, Tumor Male Humans Support Vector Machine Pancreatic Neoplasms Microbiota
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SGA-Driven feature selection and random forest classification for enhanced breast cancer diagnosis: A comparative study.

Scientific reports Mar 30, 2025
In this study, we propose a novel approach for breast cancer classification that integrates the Seagull Optimization Algorithm (SGA) for feature selection with the Random Forest (RF) classifier for effective data classification. The novelty of our ap...
Computational Biology Humans Female Support Vector Machine Algorithms Random Forest Breast Neoplasms
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Multivariate Classification of Adolescent Major Depressive Disorder Using Whole-brain Functional Connectivity.

Academic radiology Mar 29, 2025
RATIONALE AND OBJECTIVES: Adolescent major depressive disorder (MDD) is a serious mental health condition that has been linked to abnormal functional connectivity (FC) patterns within the brain. However, whether FC could be used as a potential biomar...
Humans Brain Female Support Vector Machine Magnetic Resonance Imaging Brain Mapping Multivariate Analysis Male Depressive Disorder, Major Adolescent
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