AIMC Topic: Alzheimer Disease
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Screening for Alzheimer's Disease Using Saliva: A New Approach Based on Machine Learning and Raman Hyperspectroscopy.
Journal of Alzheimer's disease : JAD
Jan 1, 2019
BACKGROUND: Alzheimer's disease and related dementias (ADRDs) are being diagnosed at epidemic rates, with incidence to triple from 35 to 115 million cases worldwide. Most ADRDs are characterized by progressive neurodegeneration, and Alzheimer's disea...
Optimizing Machine Learning Methods to Improve Predictive Models of Alzheimer's Disease.
Journal of Alzheimer's disease : JAD
Jan 1, 2019
BACKGROUND: Predicting clinical course of cognitive decline can boost clinical trials' power and improve our clinical decision-making. Machine learning (ML) algorithms are specifically designed for the purpose of prediction; however. identifying opti...
Cerebral Cortex
Apolipoproteins E
Demography
Predictive Value of Tests
Discriminant Analysis
Alzheimer Disease
Hippocampus
Longitudinal Studies
Magnetic Resonance Imaging
Models, Neurological
Prognosis
Female
Aged
Aged, 80 and over
Male
Middle Aged
Cognitive Dysfunction
Support Vector Machine
Humans
Machine Learning
Improving PET Imaging Acquisition and Analysis With Machine Learning: A Narrative Review With Focus on Alzheimer's Disease and Oncology.
Molecular imaging
Jan 1, 2019
Machine learning (ML) algorithms have found increasing utility in the medical imaging field and numerous applications in the analysis of digital biomarkers within positron emission tomography (PET) imaging have emerged. Interest in the use of artific...
Detecting Alzheimer's Disease from Continuous Speech Using Language Models.
Journal of Alzheimer's disease : JAD
Jan 1, 2019
BACKGROUND: Recently, many studies have been carried out to detect Alzheimer's disease (AD) from continuous speech by linguistic analysis and modeling. However, few of them utilize language models (LMs) to extract linguistic features and to investiga...
Episodic-Memory Performance in Machine Learning Modeling for Predicting Cognitive Health Status Classification.
Journal of Alzheimer's disease : JAD
Jan 1, 2019
BACKGROUND: Memory dysfunction is characteristic of aging and often attributed to Alzheimer's disease (AD). An easily administered tool for preliminary assessment of memory function and early AD detection would be integral in improving patient manage...
Machine Learning Algorithm Helps Identify Non-Diagnosed Prodromal Alzheimer's Disease Patients in the General Population.
The journal of prevention of Alzheimer's disease
Jan 1, 2019
BACKGROUND: Recruiting patients for clinical trials of potential therapies for Alzheimer's disease (AD) remains a major challenge, with demand for trial participants at an all-time high. The AD treatment R and D pipeline includes around 112 agents. I...
Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer's Disease Diagnosis.
Neuroinformatics
Oct 1, 2018
Accurate and early diagnosis of Alzheimer's disease (AD) plays important role for patient care and development of future treatment. Structural and functional neuroimages, such as magnetic resonance images (MRI) and positron emission tomography (PET),...
Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer's Disease.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2018
Alzheimer's disease (AD), a progressive brain disorder, is the most common neurodegenerative disease in older adults. There is a need for brain structural magnetic resonance imaging (MRI) biomarkers to help assess AD progression and intervention effe...
Detection of Early Stage Alzheimer's Disease using EEG Relative Power with Deep Neural Network.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2018
Electroencephalogram (EEG) signal based early diagnosis of Alzheimer's Disease (AD), especially a discrimination between healthy control (HC) and mild cognitive impairment (MCI) has received remarkable attentions to complement conventional diagnosing...
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