Cargando…

Feature Fusion and Detection in Alzheimer’s Disease Using a Novel Genetic Multi-Kernel SVM Based on MRI Imaging and Gene Data

Voxel-based morphometry provides an opportunity to study Alzheimer’s disease (AD) at a subtle level. Therefore, identifying the important brain voxels that can classify AD, early mild cognitive impairment (EMCI) and healthy control (HC) and studying the role of these voxels in AD will be crucial to...

Descripción completa

Detalles Bibliográficos
Autores principales:	Meng, Xianglian, Wei, Qingpeng, Meng, Li, Liu, Junlong, Wu, Yue, Liu, Wenjie
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140721/ https://www.ncbi.nlm.nih.gov/pubmed/35627222 http://dx.doi.org/10.3390/genes13050837

Ejemplares similares

Multi-Modal Neuroimaging Neural Network-Based Feature Detection for Diagnosis of Alzheimer’s Disease
por: Meng, Xianglian, et al.
Publicado: (2022)

Detection of Association Features Based on Gene Eigenvalues and MRI Imaging Using Genetic Weighted Random Forest
por: Hu, Zhixi, et al.
Publicado: (2022)

Weighted Feature Gaussian Kernel SVM for Emotion Recognition
por: Wei, Wei, et al.
Publicado: (2016)

Research on Frequent Itemset Mining of Imaging Genetics GWAS in Alzheimer’s Disease
por: Liang, Hong, et al.
Publicado: (2022)

Research on Voxel-Based Features Detection and Analysis of Alzheimer’s Disease Using Random Survey Support Vector Machine
por: Meng, Xianglian, et al.
Publicado: (2022)

Cloud Computing-Based Framework for Breast Tumor Image Classification Using Fusion of AlexNet and GLCM Texture Features with Ensemble Multi-Kernel Support Vector Machine (MK-SVM)
por: Alyami, Jaber, et al.
Publicado: (2022)

SVM-RFE: selection and visualization of the most relevant features through non-linear kernels
por: Sanz, Hector, et al.
Publicado: (2018)

Hadamard Kernel SVM with applications for breast cancer outcome predictions
por: Jiang, Hao, et al.
Publicado: (2017)

Efficient Selection of Gaussian Kernel SVM Parameters for Imbalanced Data
por: Tsai, Chen-An, et al.
Publicado: (2023)

Alzheimer-Compound Identification Based on Data Fusion and forgeNet_SVM
por: Yang, Bin, et al.
Publicado: (2022)

A Novel Method for Objective Selection of Information Sources Using Multi-Kernel SVM and Local Scaling
por: Areiza-Laverde, Henry Jhoán, et al.
Publicado: (2020)

Dynamic Video Image Segmentation Based on Dual Channel Convolutional Kernel and Multi-Frame Feature Fusion
por: Chen, Zuguo, et al.
Publicado: (2022)

Bayesian-Optimized Hybrid Kernel SVM for Rolling Bearing Fault Diagnosis
por: Song, Xinmin, et al.
Publicado: (2023)

Weighted p-norm distance t kernel SVM classification algorithm based on improved polarization
por: Liu, Wenbo, et al.
Publicado: (2022)

Visual complexity modelling based on image features fusion of multiple kernels
por: Fernandez-Lozano, Carlos, et al.
Publicado: (2019)

Corrigendum: Alzheimer-compound identification based on data fusion and forgeNet_SVM
por: Yang, Bin, et al.
Publicado: (2023)

Pulmonary Nodule Detection Model Based on SVM and CT Image Feature-Level Fusion with Rough Sets
por: Zhou, Tao, et al.
Publicado: (2016)

Hippocampal Subregion and Gene Detection in Alzheimer’s Disease Based on Genetic Clustering Random Forest
por: Li, Jin, et al.
Publicado: (2021)

Multi-feature Fusion and Damage Identification of Large Generator Stator Insulation Based on Lamb Wave Detection and SVM Method
por: Li, Ruihua, et al.
Publicado: (2019)

Establishment and application of TSDPSO-SVM model combined with multi-dimensional feature fusion method in the identification of fracture-related infection
por: Hu, Xiaofeng, et al.
Publicado: (2023)

Sequence-based identification of recombination spots using pseudo nucleic acid representation and recursive feature extraction by linear kernel SVM
por: Li, Liqi, et al.
Publicado: (2014)

Image Analysis for MRI Based Brain Tumor Detection and Feature Extraction Using Biologically Inspired BWT and SVM
por: Bahadure, Nilesh Bhaskarrao, et al.
Publicado: (2017)

Detection of Human Fall Using Floor Vibration and Multi-Features Semi-Supervised SVM
por: Liu, Chengyin, et al.
Publicado: (2019)

MiRenSVM: towards better prediction of microRNA precursors using an ensemble SVM classifier with multi-loop features
por: Ding, Jiandong, et al.
Publicado: (2010)

Multi-band network fusion for Alzheimer’s disease identification with functional MRI
por: Guo, Lingyun, et al.
Publicado: (2022)

Multi-Sensor Fusion by CWT-PARAFAC-IPSO-SVM for Intelligent Mechanical Fault Diagnosis
por: Chen, Hanxin, et al.
Publicado: (2022)

Regions of interest computed by SVM wrapped method for Alzheimer’s disease examination from segmented MRI
por: Hidalgo-Muñoz, Antonio R., et al.
Publicado: (2014)

SVM-RFE Based Feature Selection and Taguchi Parameters Optimization for Multiclass SVM Classifier
por: Huang, Mei-Ling, et al.
Publicado: (2014)

Research on lung nodule recognition algorithm based on deep feature fusion and MKL-SVM-IPSO
por: Li, Yang, et al.
Publicado: (2022)

Fault Diagnosis of PMSMs Based on Image Features of Multi-Sensor Fusion
por: Wang, Jianping, et al.
Publicado: (2023)

PCG Classification Using Multidomain Features and SVM Classifier
por: Tang, Hong, et al.
Publicado: (2018)

Multi-packet transmission aero-engine DCS neural network sliding mode control based on multi-kernel LS-SVM packet dropout online compensation
por: Guangfu, Li, et al.
Publicado: (2020)

Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics
por: Lin, Xiaohui, et al.
Publicado: (2017)

SKF-LDA: Similarity Kernel Fusion for Predicting lncRNA-Disease Association
por: Xie, Guobo, et al.
Publicado: (2019)

EEG Emotion Recognition by Fusion of Multi-Scale Features
por: Du, Xiuli, et al.
Publicado: (2023)

SSD with multi-scale feature fusion and attention mechanism
por: Liu, Qiang, et al.
Publicado: (2023)

Prediction and Classification of COVID-19 Admissions to Intensive Care Units (ICU) Using Weighted Radial Kernel SVM Coupled with Recursive Feature Elimination (RFE)
por: Alshanbari, Huda M., et al.
Publicado: (2022)

Multi-Scale Mixed Attention Network for CT and MRI Image Fusion
por: Liu, Yang, et al.
Publicado: (2022)

Dimensionality of ICA in resting-state fMRI investigated by feature optimized classification of independent components with SVM
por: Wang, Yanlu, et al.
Publicado: (2015)

Cell Group Recognition Method Based on Adaptive Mutation PSO-SVM
por: Wang, Yue, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_jm012botc2k2ive1ccfmkq6n2t