AIMC Topic: Multiple Sclerosis

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Determining Multiple Sclerosis Phenotype from Electronic Medical Records.

Journal of managed care & specialty pharmacy Dec 1, 2016
BACKGROUND: Multiple sclerosis (MS), a central nervous system disease in which nerve signals are disrupted by scarring and demyelination, is classified into phenotypes depending on the patterns of cognitive or physical impairment progression: relapsi...
Cohort Studies Electronic Health Records United States Phenotype Middle Aged Male International Classification of Diseases Female Multiple Sclerosis United States Department of Veterans Affairs Humans Natural Language Processing
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Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation.

IEEE journal of biomedical and health informatics Sep 1, 2015
Quantitative measurements from segmentations of human brain magnetic resonance (MR) images provide important biomarkers for normal aging and disease progression. In this paper, we propose a patch-based tissue classification method from MR images that...
Young Adult Adult Aged Image Processing, Computer-Assisted Magnetic Resonance Imaging Middle Aged Male Algorithms Machine Learning Female Brain Humans Hydrocephalus, Normal Pressure Multiple Sclerosis
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Brain tissue segmentation using fuzzy clustering techniques.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2015
BACKGROUND: Medical image segmentation is an essential step for most consequent image analysis tasks. Medical images can be segmented manually, but the accuracy of image segmentation using the automated segmentation algorithms is more when compared w...
Magnetic Resonance Imaging Multiple Sclerosis Fuzzy Logic Algorithms Humans Brain Image Interpretation, Computer-Assisted
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Patient-specific early classification of multivariate observations.

International journal of data mining and bioinformatics Jan 1, 2015
Early classification of time series has been receiving a lot of attention recently. In this paper we present a model, which we call the Early Classification Model (ECM), that allows for early, accurate and patient-specific classification of multivari...
Multivariate Analysis Humans Markov Chains Databases, Factual Multiple Sclerosis Diagnosis, Computer-Assisted Sepsis Gene Expression Profiling Support Vector Machine Computational Biology
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Multiple ANN Recognizers for Adaptive Recognition of the Speech of Dysarthric Patients in AAL Systems.

Studies in health technology and informatics Jan 1, 2015
People suffering from neuromuscular disorders are one of the main target groups of speech-controlled Ambient Assisted Living systems. However, the speech of these patients is often distorted because of the dysarthric symptoms of the disease. The dysa...
Neuromuscular Diseases Dysarthria Humans Algorithms Neural Networks, Computer Equipment Failure Analysis Self-Help Devices Amyotrophic Lateral Sclerosis Speech Recognition Software Equipment Design Speech Intelligibility Multiple Sclerosis
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