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Showing 70841 to 70850 of 95995 articles
Applying deep neural networks to unstructured text notes in electronic medical records for phenotyping youth depression.
Evidence-based mental health
Jul 24, 2017
BACKGROUND: We report a study of machine learning applied to the phenotyping of psychiatric diagnosis for research recruitment in youth depression, conducted with 861 labelled electronic medical records (EMRs) documents. A model was built that could ...
Ontology-Based Approach to Social Data Sentiment Analysis: Detection of Adolescent Depression Signals.
Journal of medical Internet research
Jul 24, 2017
BACKGROUND: Social networking services (SNSs) contain abundant information about the feelings, thoughts, interests, and patterns of behavior of adolescents that can be obtained by analyzing SNS postings. An ontology that expresses the shared concepts...
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Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks.
Physics in medicine and biology
Jul 24, 2017
Automated methods for prostate cancer (PCa) diagnosis in multi-parametric magnetic resonance imaging (MP-MRIs) are critical for alleviating requirements for interpretation of radiographs while helping to improve diagnostic accuracy (Artan et al 2010 ...
A machine learning approach for real-time modelling of tissue deformation in image-guided neurosurgery.
Artificial intelligence in medicine
Jul 24, 2017
OBJECTIVES: Accurate reconstruction and visualisation of soft tissue deformation in real time is crucial in image-guided surgery, particularly in augmented reality (AR) applications. Current deformation models are characterised by a trade-off between...
A salient region detection model combining background distribution measure for indoor robots.
PloS one
Jul 24, 2017
Vision system plays an important role in the field of indoor robot. Saliency detection methods, capturing regions that are perceived as important, are used to improve the performance of visual perception system. Most of state-of-the-art methods for s...
Deep architecture neural network-based real-time image processing for image-guided radiotherapy.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Jul 23, 2017
INTRODUCTION: To develop real-time image processing for image-guided radiotherapy, we evaluated several neural network models for use with different imaging modalities, including X-ray fluoroscopic image denoising.
Clustering and Candidate Motif Detection in Exosomal miRNAs by Application of Machine Learning Algorithms.
Interdisciplinary sciences, computational life sciences
Jul 22, 2017
BACKGROUND: The clustering pattern and motifs give immense information about any biological data. An application of machine learning algorithms for clustering and candidate motif detection in miRNAs derived from exosomes is depicted in this paper. Re...
Multi-model-based interactive authoring environment for creating shareable medical knowledge.
Computer methods and programs in biomedicine
Jul 22, 2017
OBJECTIVE: Technologically integrated healthcare environments can be realized if physicians are encouraged to use smart systems for the creation and sharing of knowledge used in clinical decision support systems (CDSS). While CDSSs are heading toward...
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Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging.
Magnetic resonance in medicine
Jul 21, 2017
PURPOSE: To describe and evaluate a new fully automated musculoskeletal tissue segmentation method using deep convolutional neural network (CNN) and three-dimensional (3D) simplex deformable modeling to improve the accuracy and efficiency of cartilag...
A Reading Model from the Perspective of Japanese Orthography: Connectionist Approach to the Hypothesis of Granularity and Transparency.
Journal of learning disabilities
Jul 21, 2017
This study presents a computer simulation model of reading in Japanese syllabic kana and morphographic kanji. The model was based on the simulation model developed by Harm and Seidenberg for reading in English. The purpose of building the current mod...
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