AIMC Topic: Support Vector Machine

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Classification Prediction of Hydrocephalus After Intercerebral Haemorrhage Based on Machine Learning Approach.

Neuroinformatics Jan 14, 2025
In order to construct a clinical classification prediction model for hydrocephalus after intercerebral haemorrhage(ICH) to guide clinical treatment decisions, this paper retrospectively analyses the clinical data of 844 cases of ICH and hydrocephalus...
Male Middle Aged Support Vector Machine Hydrocephalus Cerebral Hemorrhage Predictive Value of Tests Machine Learning Retrospective Studies Female Aged Humans Aged, 80 and over Adult
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Nonlinear feature selection for support vector quantile regression.

Neural networks : the official journal of the International Neural Network Society Jan 13, 2025
This paper discusses the nuanced domain of nonlinear feature selection in heterogeneous systems. To address this challenge, we present a sparsity-driven methodology, namely nonlinear feature selection for support vector quantile regression (NFS-SVQR)...
Support Vector Machine Regression Analysis Nonlinear Dynamics Humans Neural Networks, Computer Algorithms
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Integrated of Hyperspectral Imaging and Machine Learning Algorithms for Nondestructive Detection of Therapeutic Properties of Plants.

Chemistry & biodiversity Jan 13, 2025
The approaches used to determine the medicinal properties of the plants are often destructive, labor-intensive, time-consuming, and expensive, making it impossible to analyze their quality analysis online. Performance of hyperspectral imaging (HSI) i...
Machine Learning Algorithms Support Vector Machine Flowers Plant Leaves Hyperspectral Imaging Plant Roots Plants, Medicinal
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LMSST-GCN: Longitudinal MRI sub-structural texture guided graph convolution network for improved progression prediction of knee osteoarthritis.

Computer methods and programs in biomedicine Jan 13, 2025
BACKGROUND AND OBJECTIVES: Accurate prediction of progression in knee osteoarthritis (KOA) is significant for early personalized intervention. Previous methods commonly focused on quantifying features from a specific sub-structure imaged at baseline ...
Longitudinal Studies Humans Aged Middle Aged Magnetic Resonance Imaging Male Neural Networks, Computer Disease Progression Machine Learning Osteoarthritis, Knee Support Vector Machine Female
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Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines.

Sensors (Basel, Switzerland) Jan 13, 2025
Assessing vines' vigour is essential for vineyard management and automatization of viticulture machines, including shaking adjustments of berry harvesters during grape harvest or leaf pruning applications. To address these problems, based on a standa...
Unmanned Aerial Devices Plant Leaves Remote Sensing Technology Vitis Machine Learning Geographic Information Systems Support Vector Machine
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Integrating machine learning and structure-based approaches for repurposing potent tyrosine protein kinase Src inhibitors to treat inflammatory disorders.

Scientific reports Jan 13, 2025
Tyrosine-protein kinase Src plays a key role in cell proliferation and growth under favorable conditions, but its overexpression and genetic mutations can lead to the progression of various inflammatory diseases. Due to the specificity and selectivit...
Humans src-Family Kinases Support Vector Machine Molecular Dynamics Simulation Machine Learning Drug Repositioning Protein Kinase Inhibitors Molecular Docking Simulation Inflammation
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Identification of biomarkers for knee osteoarthritis through clinical data and machine learning models.

Scientific reports Jan 11, 2025
Knee osteoarthritis (KOA) represents a progressive degenerative disorder characterized by the gradual erosion of articular cartilage. This study aimed to develop and validate biomarker-based predictive models for KOA diagnosis using machine learning ...
Decision Trees Osteoarthritis, Knee Middle Aged ROC Curve Humans Support Vector Machine Machine Learning Aged Male Biomarkers Female
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Machine learning in public health informatics: Evidence that complex sampling structures may not be needed for prediction models with imbalanced outcomes.

Annals of epidemiology Jan 10, 2025
PURPOSE: The objective of this study is to investigate the predictive ability of machine learning models for imbalanced outcomes from national survey data without the use of sampling weights.
Public Health Informatics Nutrition Surveys United States Support Vector Machine Neural Networks, Computer Machine Learning Female Public Health Logistic Models Male Middle Aged Humans
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A hybrid unsupervised machine learning model with spectral clustering and semi-supervised support vector machine for credit risk assessment.

PloS one Jan 10, 2025
In credit risk assessment, unsupervised classification techniques can be introduced to reduce human resource expenses and expedite decision-making. Despite the efficacy of unsupervised learning methods in handling unlabeled datasets, their performanc...
Humans Algorithms Risk Assessment Supervised Machine Learning Support Vector Machine Cluster Analysis Unsupervised Machine Learning
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Machine learning techniques to predict diabetic ketoacidosis and HbA1c above 7% among individuals with type 1 diabetes - A large multi-centre study in Australia and New Zealand.

Nutrition, metabolism, and cardiovascular diseases : NMCD Jan 9, 2025
BACKGROUND AND AIMS: Type 1 diabetes and diabetic ketoacidosis (DKA) have a significant impact on individuals and society across a wide spectrum. Our objective was to utilize machine learning techniques to predict DKA and HbA1c>7 %.
Middle Aged Risk Assessment Deep Learning Machine Learning Australia Decision Support Techniques Humans Predictive Value of Tests Prospective Studies Glycated Hemoglobin Adolescent Young Adult Biomarkers New Zealand Female Adult Diabetes Mellitus, Type 1 Prognosis Risk Factors Male Diabetic Ketoacidosis Support Vector Machine
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