AIMC Topic:
Databases, Factual

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A machine-learning framework for automatic reference-free quality assessment in MRI.

Magnetic resonance imaging Jul 21, 2018
Magnetic resonance (MR) imaging offers a wide variety of imaging techniques. A large amount of data is created per examination which needs to be checked for sufficient quality in order to derive a meaningful diagnosis. This is a manual process and th...
Humans Deep Learning Neural Networks, Computer ROC Curve Databases, Factual Image Processing, Computer-Assisted Aged Support Vector Machine Fourier Analysis Adult Magnetic Resonance Imaging Signal Processing, Computer-Assisted Prospective Studies Male Observer Variation Retrospective Studies Middle Aged Female
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Deep neural models for extracting entities and relationships in the new RDD corpus relating disabilities and rare diseases.

Computer methods and programs in biomedicine Jul 20, 2018
BACKGROUND AND OBJECTIVE: There is a huge amount of rare diseases, many of which have associated important disabilities. It is paramount to know in advance the evolution of the disease in order to limit and prevent the appearance of disabilities and ...
Natural Language Processing Data Mining Semantics Rare Diseases Databases, Factual Humans Deep Learning Neural Networks, Computer Persons with Disabilities
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Training sparse least squares support vector machines by the QR decomposition.

Neural networks : the official journal of the International Neural Network Society Jul 19, 2018
The solution of an LS-SVM has suffered from the problem of non-sparseness. The paper proposed to apply the KMP algorithm, with the number of support vectors as the regularization parameter, to tackle the non-sparseness problem of LS-SVMs. The idea of...
Least-Squares Analysis Algorithms Databases, Factual Support Vector Machine
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Multilevel Feature Representation of FDG-PET Brain Images for Diagnosing Alzheimer's Disease.

IEEE journal of biomedical and health informatics Jul 18, 2018
Using a single imaging modality to diagnose Alzheimer's disease (AD) or mild cognitive impairment (MCI) is a challenging task. FluoroDeoxyGlucose Positron Emission Tomography (FDG-PET) is an important and effective modality used for that purpose. In ...
Support Vector Machine Alzheimer Disease Image Interpretation, Computer-Assisted Algorithms Positron-Emission Tomography Humans Fluorodeoxyglucose F18 Databases, Factual Machine Learning Neuroimaging Brain Cognitive Dysfunction
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Transferability of artificial neural networks for clinical document classification across hospitals: A case study on abnormality detection from radiology reports.

Journal of biomedical informatics Jul 17, 2018
OBJECTIVE: Application of machine learning techniques for automatic and reliable classification of clinical documents have shown promising results. However, machine learning models require abundant training data specific to each target hospital and m...
Radiography Radiographic Image Interpretation, Computer-Assisted Databases, Factual Deep Learning Computational Biology Support Vector Machine Neural Networks, Computer Machine Learning Algorithms Humans
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Classification of ADHD with bi-objective optimization.

Journal of biomedical informatics Jul 17, 2018
Attention Deficit Hyperactive Disorder (ADHD) is one of the most common diseases in school aged children. In this paper, we consider using fMRI data with classification techniques to aid the diagnosis of ADHD and propose a bi-objective ADHD classific...
Humans Algorithms Databases, Factual Reproducibility of Results Magnetic Resonance Imaging Decision Making Models, Statistical Brain Mapping Child Image Processing, Computer-Assisted Support Vector Machine Medical Informatics Attention Deficit Disorder with Hyperactivity
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CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images.

Biomedical engineering online Jul 16, 2018
BACKGROUND: Early and automatic detection of pulmonary nodules from CT lung screening is the prerequisite for precise management of lung cancer. However, a large number of false positives appear in order to increase the sensitivity, especially for de...
Image Processing, Computer-Assisted Lung Neoplasms False Positive Reactions Humans Neural Networks, Computer Databases, Factual Tomography, X-Ray Computed Lung
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Classification of Computed Tomography Images in Different Slice Positions Using Deep Learning.

Journal of healthcare engineering Jul 16, 2018
This study aimed at elucidating the relationship between the number of computed tomography (CT) images, including data concerning the accuracy of models and contrast enhancement for classifying the images. We enrolled 1539 patients who underwent cont...
Tomography, X-Ray Computed Male Image Processing, Computer-Assisted Humans Female Middle Aged Torso Databases, Factual Aged Brain Deep Learning Adult
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Exploring the clinical features of narcolepsy type 1 versus narcolepsy type 2 from European Narcolepsy Network database with machine learning.

Scientific reports Jul 13, 2018
Narcolepsy is a rare life-long disease that exists in two forms, narcolepsy type-1 (NT1) or type-2 (NT2), but only NT1 is accepted as clearly defined entity. Both types of narcolepsies belong to the group of central hypersomnias (CH), a spectrum of p...
Sleep, REM Sleep Latency Male Rare Diseases ROC Curve Narcolepsy Data Interpretation, Statistical Polysomnography Humans Databases, Factual Models, Biological Supervised Machine Learning Female Datasets as Topic Young Adult Stochastic Processes Adult
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Robust Heartbeat Detection From Multimodal Data via CNN-Based Generalizable Information Fusion.

IEEE transactions on bio-medical engineering Jul 11, 2018
OBJECTIVE: Heartbeat detection remains central to cardiac disease diagnosis and management, and is traditionally performed based on electrocardiogram (ECG). To improve robustness and accuracy of detection, especially, in certain critical-care scenari...
Humans Algorithms Blood Pressure Neural Networks, Computer Databases, Factual Signal Processing, Computer-Assisted Electrocardiography Arrhythmias, Cardiac Heart Rate
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