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Neurology Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 1219-1239 of 12,838 articles

Artificially intelligent scoring and classification engine for forensic identification.

Despite advances in genotyping technologies, traditional kinship analysis tools utilized in forensic...

Sep 2019 PMID: 31604203

Automated Muscle Segmentation from Clinical CT Using Bayesian U-Net for Personalized Musculoskeletal Modeling.

We propose a method for automatic segmentation of individual muscles from a clinical CT. The method ...

Sep 2019 PMID: 31514128

Functional connectivity-based classification of autism and control using SVM-RFECV on rs-fMRI data.

Considering the unsatisfactory classification accuracy of autism due to unsuitable features selected...

Aug 2019 PMID: 31446358

Multi-view learning-based data proliferator for boosting classification using highly imbalanced classes.

BACKGROUND: Multi-view data representation learning explores the relationship between the views and ...

Aug 2019 PMID: 31421161

Assisted therapeutic system based on reinforcement learning for children with autism.

Assisted therapy is increasingly used in autism spectrum disorders (ASD) for improving social intera...

Aug 2019 PMID: 31411501

Computer- and Robot-Assisted Therapies to Aid Social and Intellectual Functioning of Children with Autism Spectrum Disorder.

BACKGROUND AND OBJECTIVES: Children with autism spectrum disorder (ASD) experience challenges with s...

Aug 2019 PMID: 31387274

Characterizing Alzheimer's Disease With Image and Genetic Biomarkers Using Supervised Topic Models.

Neuroimaging and genetic biomarkers have been widely studied from discriminative perspectives toward...

Jul 2019 PMID: 31380772

Modelling and Optimizing Pyrene Removal from the Soil by Phytoremediation using Response Surface Methodology, Artificial Neural Networks, and Genetic Algorithm.

This study aimed to model and optimize pyrene removal from the soil contaminated by sorghum bicolor ...

Jul 2019 PMID: 31398609

Deep learning of spontaneous arousal fluctuations detects early cholinergic defects across neurodevelopmental mouse models and patients.

Neurodevelopmental spectrum disorders like autism (ASD) are diagnosed, on average, beyond age 4 y, a...

Jul 2019 PMID: 31332003

From pattern classification to stratification: towards conceptualizing the heterogeneity of Autism Spectrum Disorder.

Pattern classification and stratification approaches have increasingly been used in research on Auti...

Jul 2019 PMID: 31330196

Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier.

Discovering and accurately locating drug targets is of great significance for the research and devel...

Jul 2019 PMID: 31521251

Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data.

Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified ...

Jul 2019 PMID: 31316157

PolyCRACKER, a robust method for the unsupervised partitioning of polyploid subgenomes by signatures of repetitive DNA evolution.

BACKGROUND: Our understanding of polyploid genomes is limited by our inability to definitively assig...

Jul 2019 PMID: 31299888

The "MS-ROM/IFAST" Model, a Novel Parallel Nonlinear EEG Analysis Technique, Distinguishes ASD Subjects From Children Affected With Other Neuropsychiatric Disorders With High Degree of Accuracy.

. In a previous study, we showed a new EEG processing methodology called Multi-Scale Ranked Organizi...

Jul 2019 PMID: 31296052

Multivariate Cluster-Based Multifactor Dimensionality Reduction to Identify Genetic Interactions for Multiple Quantitative Phenotypes.

To understand the pathophysiology of complex diseases, including hypertension, diabetes, and autism,...

Jul 2019 PMID: 31380425

In Silico Prediction of Hemolytic Toxicity on the Human Erythrocytes for Small Molecules by Machine-Learning and Genetic Algorithm.

Hemolytic toxicity of small molecules, as one of the important ADMET end points, can cause the lysis...

Jul 2019 PMID: 31282671

Applying Deep Neural Network Analysis to High-Content Image-Based Assays.

The etiological underpinnings of many CNS disorders are not well understood. This is likely due to t...

Jul 2019 PMID: 31284814

Using Recurrent Neural Networks to Compare Movement Patterns in ADHD and Normally Developing Children Based on Acceleration Signals from the Wrist and Ankle.

Attention deficit and hyperactivity disorder (ADHD) is a neurodevelopmental condition that affects, ...

Jul 2019 PMID: 31277297

Neurology

Browse Categories

Artificially intelligent scoring and classification engine for forensic identification.

Automated Muscle Segmentation from Clinical CT Using Bayesian U-Net for Personalized Musculoskeletal Modeling.

Functional connectivity-based classification of autism and control using SVM-RFECV on rs-fMRI data.

Multi-view learning-based data proliferator for boosting classification using highly imbalanced classes.

Assisted therapeutic system based on reinforcement learning for children with autism.

Computer- and Robot-Assisted Therapies to Aid Social and Intellectual Functioning of Children with Autism Spectrum Disorder.

Characterizing Alzheimer's Disease With Image and Genetic Biomarkers Using Supervised Topic Models.

Modelling and Optimizing Pyrene Removal from the Soil by Phytoremediation using Response Surface Methodology, Artificial Neural Networks, and Genetic Algorithm.

Deep learning of spontaneous arousal fluctuations detects early cholinergic defects across neurodevelopmental mouse models and patients.

From pattern classification to stratification: towards conceptualizing the heterogeneity of Autism Spectrum Disorder.

Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier.

Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data.

PolyCRACKER, a robust method for the unsupervised partitioning of polyploid subgenomes by signatures of repetitive DNA evolution.

The "MS-ROM/IFAST" Model, a Novel Parallel Nonlinear EEG Analysis Technique, Distinguishes ASD Subjects From Children Affected With Other Neuropsychiatric Disorders With High Degree of Accuracy.

Multivariate Cluster-Based Multifactor Dimensionality Reduction to Identify Genetic Interactions for Multiple Quantitative Phenotypes.

In Silico Prediction of Hemolytic Toxicity on the Human Erythrocytes for Small Molecules by Machine-Learning and Genetic Algorithm.

Applying Deep Neural Network Analysis to High-Content Image-Based Assays.

Using Recurrent Neural Networks to Compare Movement Patterns in ADHD and Normally Developing Children Based on Acceleration Signals from the Wrist and Ankle.

Estimation of allele-specific fitness effects across human protein-coding sequences and implications for disease.

A machine learning investigation of volumetric and functional MRI abnormalities in adults born preterm.

Role of deep learning in infant brain MRI analysis.

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