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A Genetic Algorithm for the selection of structural MRI features for classification of Mild Cognitive Impairment and Alzheimer's Disease
2015
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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This work investigates the problem of feature selection in neuroimaging features from structural MRI brain images for the classification of subjects as healthy controls, suffering from Mild Cognitive Impairment ...
A Genetic Algorithm wrapper method for feature selection is adopted in conjunction with a Support Vector Machine classifier. ...
ACKNOWLEDGMENT Data used in preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). ...
doi:10.1109/bibm.2015.7359909
dblp:conf/bibm/SpeddingFC15
fatcat:37hbazobmzbqpekuxtv4ikbm2u
Classification of Neurodegenerative Disease Stages using Ensemble Machine Learning Classifiers
2019
Procedia Computer Science
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It also classifies the features if the subjects with Mild Cognitive impairment (MCI) and Pre-Mild Cognitive Impairment (Pre-MCI)has the likelihood to develop Alzheimer's disease. ...
It also classifies the features if the subjects with Mild Cognitive impairment (MCI) and Pre-Mild Cognitive Impairment (Pre-MCI)has the likelihood to develop Alzheimer's disease. ...
Many studies were performed on expert system solutions for Alzheimer's disease and Mild Cognitive Impairment conversions. ...
doi:10.1016/j.procs.2020.01.071
fatcat:u2hpn2beebadvb2upcsqxj4iau
Predictive models for mild cognitive impairment to Alzheimer's disease conversion
2021
Neural Regeneration Research
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of MRI data in Alzheimer’s disease and mild cognitive impairment. ...
in Alzheimer’s disease and mild cognitive impairment applied on data from ADNI. ...
doi:10.4103/1673-5374.306071
pmid:33510068
fatcat:26a3aud6nvfxfc5pi64aoi32ya
Brain Asymmetry Detection and Machine Learning Classification for Diagnosis of Early Dementia
2021
Sensors
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It uses features of brain asymmetries, extracted from MRI of the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, for the analysis of structural changes, and machine learning classification ...
Changes can be detected by computational algorithms and used for the early diagnosis of dementia and its stages (amnestic early mild cognitive impairment (EMCI), Alzheimer's Disease (AD)), and can help ...
Acknowledgments: Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department ...
doi:10.3390/s21030778
pmid:33498908
fatcat:7wvbs7voovcytnexkezntwr3lm
Automatic Prediction of Conversion from Mild Cognitive Impairment to Probable Alzheimer's Disease using Structural Magnetic Resonance Imaging
2010
AMIA Annual Symposium Proceedings
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Mild Cognitive Impairment (MCI) is thought to be a precursor to the development of early Alzheimer's disease (AD). ...
Classification was performed using support vector machines (SVMs) together with a SVM-based feature selection method, which selected a set of most discriminating predictors for optimizing prediction accuracy ...
ABSTRACT Mild Cognitive Impairment (MCI) is thought to be a precursor to the development of early Alzheimer's disease (AD). ...
pmid:21347037
pmcid:PMC3041374
fatcat:g32gap4rnndpbdx7lh7xz7alom
A list of publications describing new supervised learning pipelines to predict clinical variables from neuroimaging data in Alzheimer's disease
2016
Figshare
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This is a list of publications describing new classification and regression methods to predict clinical variables relevant to Alzheimer's disease using neurological images. ...
It is intended as a companion document for my thesis. ...
Demirel, A. D. N. Initiative, et al. Probability distri-
bution function-based classification of structural MRI for the detection
of Alzheimer's disease. ...
doi:10.6084/m9.figshare.3435752
fatcat:mdtfbkinjzfezcg6qhhwx43s4e
Automatic classification of cognitively normal, mild cognitive impairment and Alzheimer's disease using structural MRI analysis
2020
Informatics in Medicine Unlocked
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In this paper, we developed an automated machine learning method for classifying cognitively normal aging, early mild cognitive impairment, late mild cognitive impairment, and Alzheimer's disease individuals ...
Materials and Methods: In this study, a total of 1167 whole-brain magnetic resonance imaging scans of individuals who are cognitively normal aging controls, early mild cognitive impairment, late mild cognitive ...
ADNI data are disseminated by the Laboratory for NeuroImaging at the University of Southern California.Title: Automatic classification of cognitively normal, mild cognitive impairment and Alzheimer's disease ...
doi:10.1016/j.imu.2020.100305
fatcat:hn3nyde2cvhqfmcrxceuckambu
Evolutionary optimization in classification of early-MCI patients from healthy controls using graph measures of resting-state fMRI
[article]
2021
bioRxiv
pre-print
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Identifying individuals with early mild cognitive impairment (EMCI) can be an effective strategy for early diagnosis and delay the progression of Alzheimer's disease (AD). ...
These parameters were fed into the evolutionary algorithms to select a subset of parameters for classification of the data into two categories of EMCI and HC using a two-layer artificial neural network ...
Acknowledgements The authors would like to thank Oliver Herdson for his comments and proofreading the manuscript.
Authors Contribution JZ and AHJ conceived the study. JZ extracted the data. ...
doi:10.1101/2021.03.04.433989
fatcat:k3vv2wezbnay5fibpl4q32hfka
Survey on Identification of Alzheimer Disease Using Magnetic Resonance Imaging (MRI) Images
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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For the purpose of this work, there had been a new survey that had been made for the identification of a new case of Alzheimer's disease by means of using the MRI images. ...
Alzheimer's disease (AD) is a neuro-degenerative disorder which is characterised functional and cognitive deficits that take place progressively. ...
Future work to focus on optimizing selection of features and classifiers to improve the prediction. ...
doi:10.35940/ijitee.k2487.0981119
fatcat:qjvljb74onamfb33n4i2fpbhbi
Prediction of Medical Conditions Using Machine Learning Approaches: Alzheimer's Case Study
2022
Mathematics
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In this survey, we review the state-of-the-art research on machine learning (ML) techniques used for the detection of AD and Mild Cognitive Impairment (MCI). ...
Alzheimer's Disease (AD) is a highly prevalent condition and most of the people suffering from it receive the diagnosis late in the process. ...
Mild Cognitive Impairment (LMCI), AD and CN. ...
doi:10.3390/math10101767
fatcat:hkfp72kyhzdvbbluu6ylfrwtzy
Alzheimer Disease Detection Techniques and Methods: A Review
2021
International Journal of Interactive Multimedia and Artificial Intelligence
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Here is the review study of Alzheimer's disease based on Neuroimaging and cognitive impairment classification. ...
In the past few years, these measures are rapidly integrated into the signatures of Alzheimer disease (AD) with the help of classification frameworks which are offering tools for diagnosis and prognosis ...
Acknowledgment "This work was supported by the Soonchunhyang University Research Fund. " ...
doi:10.9781/ijimai.2021.04.005
fatcat:yklogr5wefei7e247dmjdrosum
Convolution neural network–based Alzheimer's disease classification using hybrid enhanced independent component analysis based segmented gray matter of T2 weighted magnetic resonance imaging with clinical valuation
2019
Alzheimer s & Dementia Translational Research & Clinical Interventions
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Predicting AD from mild cognitive impairment (MCI) and cognitive normal (CN) has become popular. ...
In recent times, accurate and early diagnosis of Alzheimer's disease (AD) plays a vital role in patient care and further treatment. ...
Table 1 1 Demographic representation of MRI images Abbreviations: AD, Alzheimer's disease; ADNI, Alzheimer's Disease Neuroimaging Initiative; CN, cognitive normal; MCI, mild cognitive impairment; MRI, ...
doi:10.1016/j.trci.2019.10.001
pmid:31921971
pmcid:PMC6944731
fatcat:ts46h5xoqzc4zcevblqzatsj5a
Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer's disease dementia: a systematic review
2021
Alzheimer's Research & Therapy
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Computer-aided image analysis and early detection of changes in cognition is a promising approach for patients with mild cognitive impairment, sometimes a prodromal stage of Alzheimer's disease dementia ...
Conclusions Although the performance of the different methods still has room for improvement, the results are promising and this methodology has a great potential as a support tool for clinicians and healthcare ...
The authors refer to literature but do not develop their mathematical notation or architecture High (2) No information about the model ...
doi:10.1186/s13195-021-00900-w
pmid:34583745
fatcat:al4ho7vq7bdwtgwoklq6o5x43e
Alzheimer's Disease Diagnosis using Deep Learning Techniques
2020
International Journal of Engineering and Advanced Technology
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A thorough review of various algorithms of deep learning for diagnosis of Alzheimer's disease is done, in which this disease is a progressive brain disorder that destroy the brain memory gradually, it ...
Deep learning is one of the machine learning approach which has shown promising results and performance as compare to traditional algorithms of machine learning in terms of high dimensional data of MRI ...
With the aim of the diagnosis of Early Mild Cognitive Impairment (EMCI), Late Mild Cognitive Impairment (LMCI) and classification method among healthy subjects and the two groups. ...
doi:10.35940/ijeat.c5345.029320
fatcat:7e2uqgeh3venbbnyhn23fr763e
Comparing different algorithms for the course of Alzheimer's disease using machine learning
2021
Annals of Palliative Medicine
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This paper discusses the characteristic indexes of brain magnetic resonance imaging (MRI) in mild cognitive impairment (MCI) and AD. ...
It applies the MRI characteristic indexes in machine learning to classify and predict the course of AD to select the best model for classification and prediction auxiliary diagnosis of AD. ...
Table 2 2 Comparison of the five MRI features MRI, magnetic resonance imaging; CN, cognitive normal; EMCI, early mild cognitive impairment; LMCI, late mild cognitive impairment; AD, Alzheimer's disease ...
doi:10.21037/apm-21-2013
pmid:34628897
fatcat:4pbntorc6banzdgnmzavl25xry
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