AIMC Topic: Mental Status and Dementia Tests

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Machine-Learning Algorithms Based on Screening Tests for Mild Cognitive Impairment.

American journal of Alzheimer's disease and other dementias Jan 1, 2020
BACKGROUND: The mobile screening test system for mild cognitive impairment (mSTS-MCI) was developed and validated to address the low sensitivity and specificity of the Montreal Cognitive Assessment (MoCA) widely used clinically.
Neuropsychological Tests Mental Status and Dementia Tests Male Aged Cognitive Dysfunction Sensitivity and Specificity Humans Mass Screening Machine Learning Female
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Integrating Convolutional Neural Networks and Multi-Task Dictionary Learning for Cognitive Decline Prediction with Longitudinal Images.

Journal of Alzheimer's disease : JAD Jan 1, 2020
BACKGROUND: Disease progression prediction based on neuroimaging biomarkers is vital in Alzheimer's disease (AD) research. Convolutional neural networks (CNN) have been proved to be powerful for various computer vision research by refining reliable a...
Image Interpretation, Computer-Assisted Chromans Mental Status and Dementia Tests Humans Neural Networks, Computer Aged Disease Progression Learning Male Cognitive Dysfunction Longitudinal Studies
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A Machine Learning Framework for Assessment of Cognitive and Functional Impairments in Alzheimer's Disease: Data Preprocessing and Analysis.

The journal of prevention of Alzheimer's disease Jan 1, 2020
The neuropsychological scores and Functional Activities Questionnaire (FAQ) are significant to measure the cognitive and functional domain of the patients affected by the Alzheimer's Disease. Further, there are standardized dataset available today th...
Executive Function Mental Status and Dementia Tests Activities of Daily Living Datasets as Topic Memory Logistic Models Alzheimer Disease Humans Machine Learning Cognitive Dysfunction
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Machine Learning Predictive Models Can Improve Efficacy of Clinical Trials for Alzheimer's Disease.

Journal of Alzheimer's disease : JAD Jan 1, 2020
BACKGROUND: The ideal participants for Alzheimer's disease (AD) clinical trials would show cognitive decline in the absence of treatment (i.e., placebo arm) and also would be responsive to the therapeutic intervention being studied (i.e., drug arm). ...
Female Reproducibility of Results Aged Research Design Databases, Factual Cognitive Dysfunction Follow-Up Studies Magnetic Resonance Imaging Aged, 80 and over Sensitivity and Specificity Male Humans Machine Learning Algorithms Clinical Trials, Phase III as Topic Mental Status and Dementia Tests Alzheimer Disease Neuroimaging Clinical Trials as Topic Predictive Value of Tests Sample Size
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3D-Deep Learning Based Automatic Diagnosis of Alzheimer's Disease with Joint MMSE Prediction Using Resting-State fMRI.

Neuroinformatics Jan 1, 2020
We performed this research to 1) evaluate a novel deep learning method for the diagnosis of Alzheimer's disease (AD) and 2) jointly predict the Mini Mental State Examination (MMSE) scores of South Korean patients with AD. Using resting-state function...
Aged, 80 and over Male Middle Aged Female Aged Humans Magnetic Resonance Imaging Alzheimer Disease Neural Networks, Computer Deep Learning Mental Status and Dementia Tests Brain Imaging, Three-Dimensional Support Vector Machine
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Predictors of functional and motor outcomes following upper limb robot-assisted therapy after stroke.

International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation Sep 1, 2019
Robot-assisted therapy is an effective treatment for stroke patients and has recently gained popularity. Clinicians and researchers are trying to identify predictors to stratify patients for ensuring better stroke rehabilitation outcomes. However, pr...
Disability Evaluation Stroke Hemiplegia Middle Aged Humans Retrospective Studies Upper Extremity Robotics Female Stroke Rehabilitation Male Mental Status and Dementia Tests
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Reckoning respiratory signals to affectively decipher mental state.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Recognizing mental states from physiological signal is a concern not only for medical diagnostics, but also for cognitive science, behavioral studies as well as brain machine interfaces. This study employs an unique approach of solely utilizing the r...
Mental Status and Dementia Tests Humans Algorithms Neural Networks, Computer Brain-Computer Interfaces Respiration
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