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Analysis of Classification & Feature Selection Techniques for Detecting Dementia

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00127-017-1410-0openalex-extracted

Diagnosis of Dementia by Machine learning methods in Epidemiological studies: a pilot exploratory study from south India

inferredcites →https://doi.org/10.1007/s12021-015-9292-3openalex-extracted

Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia

inferredcites →https://doi.org/10.1016/b978-0-12-804291-5.00024-6openalex-extracted

The WEKA workbench

inferredcites →https://doi.org/10.1016/j.csbj.2014.11.005openalex-extracted

Machine learning applications in cancer prognosis and prediction

inferredcites →https://doi.org/10.1016/j.procs.2018.05.102openalex-extracted

Comparative Analysis of Various Machine Learning Algorithms for Detecting Dementia

inferredcites →https://doi.org/10.1016/s1352-2310(97)00447-0openalex-extracted

Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences

inferredcites →https://doi.org/10.1023/a:1010933404324openalex-extracted

Random Forests

inferredcites →https://doi.org/10.1093/bib/bbk007openalex-extracted

Machine learning in bioinformatics

inferredcites →https://doi.org/10.1109/cciot.2014.7062522openalex-extracted

An approach to preprocess data in the diagnosis of Alzheimer's disease

inferredcites →https://doi.org/10.1109/iccic.2014.7238300openalex-extracted

An initial investigation in the diagnosis of Alzheimer's disease using various classification techniques

inferredcites →https://doi.org/10.1109/ichi.2015.68openalex-extracted

Feasibility Study of a Machine Learning Approach to Predict Dementia Progression

inferredcites →https://doi.org/10.1109/icitcs.2015.7292973openalex-extracted

Diagnosis of Alzheimer's Disease Employing Neuropsychological and Classification Techniques

inferredcites →https://doi.org/10.1109/icroit.2014.6798353openalex-extracted

Comparative analysis of feed forward and radial basis function neural networks for the reconstruction of noisy curves

inferredcites →https://doi.org/10.1109/ms.2016.114openalex-extracted

Machine Learning

inferredcites →https://doi.org/10.1109/nssmic.2008.4774255openalex-extracted

Automatic computer aided diagnosis tool using component-based SVM

inferredcites →https://doi.org/10.1109/socialcom.2013.127openalex-extracted

Classification of MRI Images for Alzheimer's Disease Detection

inferredcites →https://doi.org/10.1201/9780429444272-66openalex-extracted

A study on dementia using machine learning techniques

inferredcites →https://doi.org/10.17485/ijst/2016/v9i28/84138openalex-extracted

Piecewise Feature Extraction and Artificial Neural Networks: An Approach towards Curve Reconstruction

inferredcites →https://doi.org/10.18517/ijaseit.8.6.5042openalex-extracted

Performances Analysis of Heart Disease Dataset using Different Data Mining Classifications

inferredcites →https://doi.org/10.3233/ica-140464openalex-extracted

Action-perception cycle learning for incremental emotion recognition in a movie clip using 3D fuzzy GIST based on visual and EEG signals

inferredcites →https://doi.org/10.5120/14000-2039openalex-extracted

Selecting and Extracting Effective Features for Automated Diagnosis of Alzheimer's Disease

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-15-9689-6_7openalex-snapshot

A Systematic Literature Review of Deep Learning for Detecting Dementia

inferred← citeshttps://doi.org/10.1007/978-981-19-0475-2_45openalex-snapshot

Performance Evaluation of Shallow and Deep Neural Networks for Dementia Detection

inferred← citeshttps://doi.org/10.1007/978-981-19-4831-2_2openalex-snapshot

Dimensionality Reduction Method for Early Detection of Dementia

inferred← citeshttps://doi.org/10.1016/j.array.2024.100352openalex-snapshot

ANALYZE-AD: A comparative analysis of novel AI approaches for early Alzheimer’s detection

inferred← citeshttps://doi.org/10.1016/j.procs.2020.03.190openalex-snapshot

Classification of Magnetic Resonance Images using Bag of Features for Detecting Dementia

inferred← citeshttps://doi.org/10.1109/otcon60325.2024.10687640openalex-snapshot

Dementia Vision: Feature Extraction and Comparison using HOG and PCA for Diagnostic Imaging

inferred← citeshttps://doi.org/10.1111/exsy.12926openalex-snapshot

A superpixel powered autoencoder technique for detecting dementia

inferred← citeshttps://doi.org/10.2174/2666255813999200930163857openalex-snapshot

Analysis of Univariate and Multivariate Filters Towards the Early Detection of Dementia

inferred← citeshttps://doi.org/10.3233/idt-220256openalex-snapshot

BoF-SVM-based data intelligence model for detecting dementia

inferred← citeshttps://doi.org/10.3390/biomedinformatics5020026openalex-snapshot

Decision Trees for the Analysis of Gene Expression Levels of COVID-19: An Association with Alzheimer’s Disease

inferred← citeshttps://doi.org/10.4018/ijsesd.313966openalex-snapshot

Comparative Analysis of Artificial Neural Networks and Deep Neural Networks for Detection of Dementia

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