AIMC Topic: Alzheimer Disease

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A hybrid manifold learning algorithm for the diagnosis and prognostication of Alzheimer's disease.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
The diagnosis of Alzheimer's disease (AD) requires a variety of medical tests, which leads to huge amounts of multivariate heterogeneous data. Such data are difficult to compare, visualize, and analyze due to the heterogeneous nature of medical tests...
Prognosis Diagnosis, Computer-Assisted Support Vector Machine Principal Component Analysis Humans Algorithms Computer Simulation Models, Biological Alzheimer Disease Neuroimaging Models, Educational
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CSF YKL-40 and pTau181 are related to different cerebral morphometric patterns in early AD.

Neurobiology of aging Nov 2, 2015
Cerebrospinal fluid (CSF) concentrations of YKL-40 that serve as biomarker of neuroinflammation are known to be altered along the clinico-biological continuum of Alzheimer's disease (AD). The specific structural cerebral correlates of CSF YKL-40 were...
Neuroglia Magnetic Resonance Imaging Male Astrocytes Middle Aged Neuroimaging Humans Amyloid beta-Peptides Cognitive Dysfunction Gray Matter Biomarkers Alzheimer Disease tau Proteins Female Inflammation Chitinase-3-Like Protein 1 Aged
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Graph-guided joint prediction of class label and clinical scores for the Alzheimer's disease.

Brain structure & function Oct 17, 2015
Accurate diagnosis of Alzheimer's disease and its prodromal stage, i.e., mild cognitive impairment, is very important for early treatment. Over the last decade, various machine learning methods have been proposed to predict disease status and clinica...
Machine Learning Algorithms Brain Computer Simulation Humans Magnetic Resonance Imaging Alzheimer Disease Positron-Emission Tomography Image Interpretation, Computer-Assisted Female Aged Male Cognitive Dysfunction
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Computer-Aided Diagnosis System for Alzheimer's Disease Using Different Discrete Transform Techniques.

American journal of Alzheimer's disease and other dementias Sep 14, 2015
The different discrete transform techniques such as discrete cosine transform (DCT), discrete sine transform (DST), discrete wavelet transform (DWT), and mel-scale frequency cepstral coefficients (MFCCs) are powerful feature extraction techniques. Th...
Support Vector Machine Humans Data Interpretation, Statistical Algorithms Alzheimer Disease Diagnosis, Computer-Assisted
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A novel method for early diagnosis of Alzheimer's disease based on pseudo Zernike moment from structural MRI.

Neuroscience Aug 8, 2015
Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the most common type of dementia among older people. The number of patients with AD will grow rapidly each year and AD is the fifth leading cause of death for those aged 65 and ...
Humans Magnetic Resonance Imaging Brain Mapping Alzheimer Disease Early Diagnosis Mental Status Schedule Aged, 80 and over Male Middle Aged Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Female Aged
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Exploring multifractal-based features for mild Alzheimer's disease classification.

Magnetic resonance in medicine Jul 20, 2015
PURPOSE: Multifractal applications to resting state functional MRI (rs-fMRI) time series for diagnosing Alzheimer's disease (AD) are still limited. We aim to address two issues: (I) if and what multifractal features are sufficiently discriminative to...
Image Enhancement Fractals Subtraction Technique Male Severity of Illness Index Support Vector Machine Magnetic Resonance Imaging Diagnosis, Differential Alzheimer Disease Image Interpretation, Computer-Assisted Pattern Recognition, Automated Female Reproducibility of Results Aged Sensitivity and Specificity Humans Algorithms Brain
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Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration.

Biometrics Jul 14, 2015
Predicting disease risk and progression is one of the main goals in many clinical research studies. Cohort studies on the natural history and etiology of chronic diseases span years and data are collected at multiple visits. Although, kernel-based st...
Machine Learning Algorithms Computer Simulation Disease Progression Humans Biometry Statistics, Nonparametric Huntington Disease Support Vector Machine Longitudinal Studies Models, Statistical Alzheimer Disease
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Local manifold learning for multiatlas segmentation: application to hippocampal segmentation in healthy population and Alzheimer's disease.

CNS neuroscience & therapeutics Jun 30, 2015
AIMS: Automated hippocampal segmentation is an important issue in many neuroscience studies.
Male Atlases as Topic Middle Aged Adolescent Image Processing, Computer-Assisted Machine Learning Humans Child Magnetic Resonance Imaging Female Alzheimer Disease Aged Hippocampus Aged, 80 and over
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Deep sparse multi-task learning for feature selection in Alzheimer's disease diagnosis.

Brain structure & function May 21, 2015
Recently, neuroimaging-based Alzheimer's disease (AD) or mild cognitive impairment (MCI) diagnosis has attracted researchers in the field, due to the increasing prevalence of the diseases. Unfortunately, the unfavorable high-dimensional nature of neu...
Humans Magnetic Resonance Imaging Sensitivity and Specificity Algorithms Regression Analysis Male Female Alzheimer Disease Diagnosis, Computer-Assisted Aged Positron-Emission Tomography Support Vector Machine
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A Robust Deep Model for Improved Classification of AD/MCI Patients.

IEEE journal of biomedical and health informatics May 4, 2015
Accurate classification of Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment (MCI), plays a critical role in possibly preventing progression of memory impairment and improving quality of life for AD patients. Among many rese...
Humans Machine Learning Cognitive Dysfunction Models, Theoretical Support Vector Machine Magnetic Resonance Imaging Principal Component Analysis Alzheimer Disease Positron-Emission Tomography Image Interpretation, Computer-Assisted Early Diagnosis
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