AIMC Topic: Support Vector Machine

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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 Support Vector Machine Decision Trees Humans Machine Learning 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.
Cerebrovascular Disorders Gait Analysis Neuropsychological Tests Aged, 80 and over Sensitivity and Specificity Male Machine Learning Support Vector Machine Female Middle Aged Humans Gait Aged Cognitive Dysfunction
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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 Machine Learning Support Vector Machine Natural Language Processing
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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...
Aged Kaplan-Meier Estimate Humans Adult Receptors, Interleukin-7 Machine Learning ROC Curve Radiomics Interleukin-7 Receptor alpha Subunit Glioma Brain Neoplasms Neoplasm Grading Algorithms Male Proportional Hazards Models Support Vector Machine Prognosis Middle Aged Multivariate Analysis Magnetic Resonance Imaging Female
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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 ...
Humans Machine Learning Female Male Middle Aged Aged Microbiota Biomarkers, Tumor Extracellular Vesicles Support Vector Machine Pancreatic Neoplasms
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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...
Female Breast Neoplasms Computational Biology Support Vector Machine Random Forest Humans Algorithms
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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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Rapid and accurate identification of foodborne bacteria: a combined approach using confocal Raman micro-spectroscopy and explainable machine learning.

Analytical and bioanalytical chemistry Mar 29, 2025
This study proposes a rapid identification method for foodborne pathogens by combining Raman spectroscopy with explainable machine learning. Spectral data of nine common foodborne pathogens are collected using a laser confocal Raman spectrometer, and...
Foodborne Diseases Spectrum Analysis, Raman Support Vector Machine Food Microbiology Algorithms Bacteria Machine Learning
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Accurate prediction of mediolateral episiotomy risk during labor: development and verification of an artificial intelligence model.

BMC pregnancy and childbirth Mar 29, 2025
OBJECTIVE: The study developed an intelligent online evaluation system for mediolateral episiotomy, which incorporated machine learning algorithms and integrated maternal physiological data collected during delivery.
Logistic Models Support Vector Machine Labor, Obstetric Episiotomy Humans Adult Artificial Intelligence Machine Learning Risk Assessment China Pregnancy Female
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Footwork recognition and trajectory tracking in track and field based on image processing.

Scientific reports Mar 28, 2025
In track and field sports, footwork can greatly affect the effect and performance of sports. Accurate footwork can effectively improve the performance of professional athletes, and for ordinary trainers, it can reduce the probability of training inju...
Humans Algorithms Image Processing, Computer-Assisted Support Vector Machine Athletic Performance Athletes Female Male Adolescent Video Recording Track and Field
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