AIMC Topic: Support Vector Machine

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Development of a machine learning-based risk prediction model for cerebral infarction and comparison with nomogram model.

Journal of affective disorders Jul 23, 2022
BACKGROUND: Development of a cerebral infarction (CI) risk prediction model by mining routine test big data with machine learning algorithms.
Cerebral Infarction Nomograms Support Vector Machine Middle Aged Logistic Models Humans Machine Learning
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IoMT-Based Mitochondrial and Multifactorial Genetic Inheritance Disorder Prediction Using Machine Learning.

Computational intelligence and neuroscience Jul 21, 2022
A genetic disorder is a serious disease that affects a large number of individuals around the world. There are various types of genetic illnesses, however, we focus on mitochondrial and multifactorial genetic disorders for prediction. Genetic illness...
Support Vector Machine Cluster Analysis Algorithms Humans Adolescent Machine Learning
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Four-Class Classification of Neuropsychiatric Disorders by Use of Functional Near-Infrared Spectroscopy Derived Biomarkers.

Sensors (Basel, Switzerland) Jul 20, 2022
Diagnosis of most neuropsychiatric disorders relies on subjective measures, which makes the reliability of final clinical decisions questionable. The aim of this study was to propose a machine learning-based classification approach for objective diag...
Humans Biomarkers Bayes Theorem Adolescent Reproducibility of Results Discriminant Analysis Support Vector Machine Spectroscopy, Near-Infrared
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Systematic evaluation of machine learning algorithms for neuroanatomically-based age prediction in youth.

Human brain mapping Jul 19, 2022
Application of machine learning (ML) algorithms to structural magnetic resonance imaging (sMRI) data has yielded behaviorally meaningful estimates of the biological age of the brain (brain-age). The choice of the ML approach in estimating brain-age i...
Humans Brain Adolescent Machine Learning Algorithms Neuroimaging Support Vector Machine Bayes Theorem
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Deep Sentiment Analysis of Twitter Data Using a Hybrid Ghost Convolution Neural Network Model.

Computational intelligence and neuroscience Jul 18, 2022
Several problems remain, despite the evident advantages of sentiment analysis of public opinion represented on Twitter and Facebook. On complicated training data, hybrid approaches may reduce sentiment mistakes. This research assesses the dependabili...
Social Media Humans Sentiment Analysis Neural Networks, Computer Algorithms Support Vector Machine
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A new brain tumor diagnostic model: Selection of textural feature extraction algorithms and convolution neural network features with optimization algorithms.

Computers in biology and medicine Jul 16, 2022
Brain tumors are one of the most dangerous diseases that affect human health and maybe result in death. Detection of brain tumors can be made by using biopsy. However, this is an invasive procedure. It is an extremely dangerous procedure because it c...
Magnetic Resonance Imaging Brain Neoplasms Support Vector Machine Humans Neural Networks, Computer Algorithms
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Design and Implementation of Trace Inspection System Based upon Hyperspectral Imaging Technology.

Computational intelligence and neuroscience Jul 15, 2022
Trace inspection is a key technology for collecting crime scenes in the criminal investigation department. A lot of information can be obtained by restoring and analyzing the remaining traces on the scene. However, with the development of digital tec...
Spectrum Analysis Quality Control Hyperspectral Imaging Support Vector Machine Least-Squares Analysis
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A powerful tool for near-infrared spectroscopy: Synergy adaptive moving window algorithm based on the immune support vector machine.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jul 14, 2022
Traditional trial-and-error methods are time-consuming and inefficient, especially very unfriendly to inexperienced analysts, and are sometimes still used to select preprocessing methods or wavelength variables in near-infrared spectroscopy (NIR). To...
Least-Squares Analysis Spectroscopy, Near-Infrared Algorithms Gasoline Support Vector Machine
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Use of SVM-based ensemble feature selection method for gene expression data analysis.

Statistical applications in genetics and molecular biology Jul 14, 2022
Gene selection is one of the key steps for gene expression data analysis. An SVM-based ensemble feature selection method is proposed in this paper. Firstly, the method builds many subsets by using Monte Carlo sampling. Secondly, ranking all the featu...
Data Analysis Gene Expression Algorithms Humans Male Support Vector Machine
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Utility of support vector machine and decision tree to identify the prognosis of metformin poisoning in the United States: analysis of National Poisoning Data System.

BMC pharmacology & toxicology Jul 13, 2022
BACKGROUND: With diabetes incidence growing globally and metformin still being the first-line for its treatment, metformin's toxicity and overdose have been increasing. Hence, its mortality rate is increasing. For the first time, we aimed to study th...
Algorithms Support Vector Machine Humans Decision Trees Retrospective Studies Prognosis United States Metformin
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