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Subcategories: Alzheimer's Disease Medicare

Showing 2836-2856 of 8,119 articles

Deep learning detection of informative features in tau PET for Alzheimer's disease classification.

BACKGROUND: Alzheimer's disease (AD) is the most common type of dementia, typically characterized by...

Dec 2020 33371874

Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment.

Alzheimer's disease (AD) is a neurodegenerative disease with an irreversible and progressive process...

Dec 2020 31567112

Individualised Responsible Artificial Intelligence for Home-Based Rehabilitation.

Socioeconomic reasons post-COVID-19 demand unsupervised home-based rehabilitation and, specifically,...

Dec 2020 33374913

Identification of Alzheimer's disease using a convolutional neural network model based on T1-weighted magnetic resonance imaging.

The classification of Alzheimer's disease (AD) using deep learning methods has shown promising resul...

Dec 2020 33335244

Hardware-Based Hopfield Neuromorphic Computing for Fall Detection.

With the popularity of smart wearable systems, sensor signal processing poses more challenges to mac...

Dec 2020 33348587

EEG-Based Emotion Classification for Alzheimer's Disease Patients Using Conventional Machine Learning and Recurrent Neural Network Models.

As the number of patients with Alzheimer's disease (AD) increases, the effort needed to care for the...

Dec 2020 33339334

Transfer learning for predicting conversion from mild cognitive impairment to dementia of Alzheimer's type based on a three-dimensional convolutional neural network.

Dementia of Alzheimer's type (DAT) is associated with devastating and irreversible cognitive decline...

Dec 2020 33422894

Early initiation of PD therapy in elderly patients is associated with increased risk of death.

BACKGROUND: The effect of early initiation of dialysis on outcomes of patients with end-stage renal ...

Dec 2020 34084460

Deep multi-kernel auto-encoder network for clustering brain functional connectivity data.

In this study, we propose a deep-learning network model called the deep multi-kernel auto-encoder cl...

Dec 2020 33388506

PsychoAge and SubjAge: development of deep markers of psychological and subjective age using artificial intelligence.

Aging clocks that accurately predict human age based on various biodata types are among the most imp...

Dec 2020 33303702

A Robust Feature Extraction Model for Human Activity Characterization Using 3-Axis Accelerometer and Gyroscope Data.

Human Activity Recognition (HAR) using embedded sensors in smartphones and smartwatch has gained pop...

Dec 2020 33297389

The realization of robotic neurorehabilitation in clinical: use of computational intelligence and future prospects analysis.

: Although there is a need for rehabilitation treatment with the increase in the aging population, t...

Dec 2020 33252284

An end-to-end breast tumour classification model using context-based patch modelling - A BiLSTM approach for image classification.

Researchers working on computational analysis of Whole Slide Images (WSIs) in histopathology have pr...

Dec 2020 33340945

End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging.

Neovascular age-related macular degeneration (nAMD) is nowadays successfully treated with anti-VEGF ...

Dec 2020 32750929

Task-Driven Learned Hyperspectral Data Reduction Using End-to-End Supervised Deep Learning.

An important challenge in hyperspectral imaging tasks is to cope with the large number of spectral b...

Dec 2020 34460529

Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data.

BACKGROUND: Reverse Transcription-Polymerase Chain Reaction (RT-PCR) for Severe Acute Respiratory Sy...

Dec 2020 33261629

Evaluation of deep learning-based auto-segmentation algorithms for delineating clinical target volume and organs at risk involving data for 125 cervical cancer patients.

OBJECTIVE: To evaluate the accuracy of a deep learning-based auto-segmentation mode to that of manua...

Nov 2020 33238060

Browse Categories

Deep learning detection of informative features in tau PET for Alzheimer's disease classification.

Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment.

Individualised Responsible Artificial Intelligence for Home-Based Rehabilitation.

Identification of Alzheimer's disease using a convolutional neural network model based on T1-weighted magnetic resonance imaging.

Hardware-Based Hopfield Neuromorphic Computing for Fall Detection.

EEG-Based Emotion Classification for Alzheimer's Disease Patients Using Conventional Machine Learning and Recurrent Neural Network Models.

Transfer learning for predicting conversion from mild cognitive impairment to dementia of Alzheimer's type based on a three-dimensional convolutional neural network.

Early initiation of PD therapy in elderly patients is associated with increased risk of death.

Deep multi-kernel auto-encoder network for clustering brain functional connectivity data.

PsychoAge and SubjAge: development of deep markers of psychological and subjective age using artificial intelligence.

A Robust Feature Extraction Model for Human Activity Characterization Using 3-Axis Accelerometer and Gyroscope Data.

The realization of robotic neurorehabilitation in clinical: use of computational intelligence and future prospects analysis.

An end-to-end breast tumour classification model using context-based patch modelling - A BiLSTM approach for image classification.

End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging.

Task-Driven Learned Hyperspectral Data Reduction Using End-to-End Supervised Deep Learning.

Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data.

Systematic Identification of Molecular Targets and Pathways Related to Human Organ Level Toxicity.

"Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images".

Deep learning segmentation of Primary Sjögren's syndrome affected salivary glands from ultrasonography images.

Training confounder-free deep learning models for medical applications.

Evaluation of deep learning-based auto-segmentation algorithms for delineating clinical target volume and organs at risk involving data for 125 cervical cancer patients.

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