AIMC Topic: Pattern Recognition, Automated
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Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Dec 19, 2019
Multi-modality based classification methods are superior to the single modality based approaches for the automatic diagnosis of the Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, most of the multi-modality based methods usuall...
Deep Learning Classification of Neuro-Emotional Phase Domain Complexity Levels Induced by Affective Video Film Clips.
IEEE journal of biomedical and health informatics
Dec 16, 2019
In the present article, a novel emotional complexity marker is proposed for classification of discrete emotions induced by affective video film clips. Principal Component Analysis (PCA) is applied to full-band specific phase space trajectory matrix (...
Identification of Tomato Disease Types and Detection of Infected Areas Based on Deep Convolutional Neural Networks and Object Detection Techniques.
Computational intelligence and neuroscience
Dec 16, 2019
This study develops tomato disease detection methods based on deep convolutional neural networks and object detection models. Two different models, Faster R-CNN and Mask R-CNN, are used in these methods, where Faster R-CNN is used to identify the typ...
Improving Generalization via Attribute Selection on Out-of-the-Box Data.
Neural computation
Dec 13, 2019
Zero-shot learning (ZSL) aims to recognize unseen objects (test classes) given some other seen objects (training classes) by sharing information of attributes between different objects. Attributes are artificially annotated for objects and treated eq...
SVR-EEMD: An Improved EEMD Method Based on Support Vector Regression Extension in PPG Signal Denoising.
Computational and mathematical methods in medicine
Dec 12, 2019
Photoplethysmography (PPG) has been widely used in noninvasive blood volume and blood flow detection since its first appearance. However, its noninvasiveness also makes the PPG signals vulnerable to noise interference and thus exhibits nonlinear and ...
Comparative analysis of computer-vision and BLE technology based indoor navigation systems for people with visual impairments.
International journal of health geographics
Dec 11, 2019
BACKGROUND: Considerable number of indoor navigation systems has been proposed to augment people with visual impairments (VI) about their surroundings. These systems leverage several technologies, such as computer-vision, Bluetooth low energy (BLE), ...
Boosting ICD multi-label classification of health records with contextual embeddings and label-granularity.
Computer methods and programs in biomedicine
Dec 10, 2019
BACKGROUND AND OBJECTIVE: This work deals with clinical text mining, a field of Natural Language Processing applied to biomedical informatics. The aim is to classify Electronic Health Records with respect to the International Classification of Diseas...
Body Composition Analysis of Computed Tomography Scans in Clinical Populations: The Role of Deep Learning.
Lifestyle genomics
Dec 10, 2019
BACKGROUND: Body composition is increasingly being recognized as an important prognostic factor for health outcomes across cancer, liver cirrhosis, and critically ill patients. Computed tomography (CT) scans, when taken as part of routine care, provi...
Neural Networks, Computer
Tomography, X-Ray Computed
Reproducibility of Results
Cost-Benefit Analysis
Body Mass Index
Humans
Pattern Recognition, Automated
Muscle, Skeletal
Deep Learning
Lumbosacral Region
Subcutaneous Fat
Image Processing, Computer-Assisted
Adipose Tissue
Body Composition
Lumbar Vertebrae
Improving rare disease classification using imperfect knowledge graph.
BMC medical informatics and decision making
Dec 5, 2019
BACKGROUND: Accurately recognizing rare diseases based on symptom description is an important task in patient triage, early risk stratification, and target therapies. However, due to the very nature of rare diseases, the lack of historical data poses...
Discriminative margin-sensitive autoencoder for collective multi-view disease analysis.
Neural networks : the official journal of the International Neural Network Society
Dec 2, 2019
Medical prediction is always collectively determined based on bioimages collected from different sources or various clinical characterizations described from multiple physiological features. Notably, learning intrinsic structures from multiple hetero...
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