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https://www.readbyqxmd.com/read/28927443/towards-achieving-semantic-interoperability-of-clinical-study-data-with-fhir
#1
Hugo Leroux, Alejandro Metke-Jimenez, Michael J Lawley
BACKGROUND: Observational clinical studies play a pivotal role in advancing medical knowledge and patient healthcare. To lessen the prohibitive costs of conducting these studies and support evidence-based medicine, results emanating from these studies need to be shared and compared to one another. Current approaches for clinical study management have limitations that prohibit the effective sharing of clinical research data. METHODS: The objective of this paper is to present a proposal for a clinical study architecture to not only facilitate the communication of clinical study data but also its context so that the data that is being communicated can be unambiguously understood at the receiving end...
September 19, 2017: Journal of Biomedical Semantics
https://www.readbyqxmd.com/read/28910765/multiple-semantic-matching-on-augmented-n-partite-graph-for-object-co-segmentation
#2
Chuan Wang, Hua Zhang, Liang Yang, Xiaochun Cao, Hongkai Xiong
Recent methods for object co-segmentation focus on discovering single co-occurring relation of candidate regions representing the foreground of multiple images. However, region extraction based only on low and middle level information often occupies a large area of background without the help of semantic context. In addition, seeking single matching solution very likely leads to discover local parts of common objects. To cope with these deficiencies, we present a new object cosegmentation framework, which takes advantages of semantic information and globally explores multiple co-occurring matching cliques based on an N-partite graph structure...
September 8, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28900394/navigation-and-self-semantic-location-of-drones-in-indoor-environments-by-combining-the-visual-bug-algorithm-and-entropy-based-vision
#3
Darío Maravall, Javier de Lope, Juan P Fuentes
We introduce a hybrid algorithm for the self-semantic location and autonomous navigation of robots using entropy-based vision and visual topological maps. In visual topological maps the visual landmarks are considered as leave points for guiding the robot to reach a target point (robot homing) in indoor environments. These visual landmarks are defined from images of relevant objects or characteristic scenes in the environment. The entropy of an image is directly related to the presence of a unique object or the presence of several different objects inside it: the lower the entropy the higher the probability of containing a single object inside it and, conversely, the higher the entropy the higher the probability of containing several objects inside it...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28883195/mapping-equivalence-of-german-emergency-department-medical-record-concepts-with-snomed-ct-after-implementation-with-hl7-cda
#4
Dominik Brammen, Heike Dewenter, Kai U Heitmann, Volker Thiemann, Raphael W Majeed, Felix Walcher, Rainer Röhrig, Sylvia Thun
INTRODUCTION: The German Emergency Department Medical Record (GEDMR) was created by medical domain experts and healthcare providers providing a dataset as well as a form. The trauma module of GEDMR was syntactically standardized using HL7 CDA and semantically standardized using different terminologies including SNOMED CT, LOINC and proprietary coding systems. This study depicts the mapping accuracy with aforementioned syntactical and semantical standards in general and especially the content coverage of SNOMED CT...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28883194/light-weighted-automatic-import-of-standardized-ontologies-into-the-content-management-system-drupal
#5
Christoph Beger, Alexandr Uciteli, Heinrich Herre
The amount of ontologies, which are utilizable for widespread domains, is growing steadily. BioPortal alone, embraces over 500 published ontologies with nearly 8 million classes. In contrast, the vast informative content of these ontologies is only directly intelligible by experts. To overcome this deficiency it could be possible to represent ontologies as web portals, which does not require knowledge about ontologies and their semantics, but still carries as much information as possible to the end-user. Furthermore, the conception of a complex web portal is a sophisticated process...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28880190/learning-semantic-aligned-action-representation
#6
Bingbing Ni, Teng Li, Xiaokang Yang
A fundamental bottleneck for achieving highly discriminative action representation is that local motion/appearance features are usually not semantic aligned. Namely, a local feature, such as a motion vector or motion trajectory, does not possess any attribute that indicates which moving body part or operated object it is associated with. This mostly leads to global feature pooling/representation learning methods that are often too coarse. Inspired by the recent success of end-to-end (pixel-to-pixel) deep convolutional neural networks (DCNNs), in this paper, we first propose a DCNN architecture, which maps a human centric image region onto human body part response maps...
August 31, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28878961/utterance-final-position-and-pitch-marking-aid-word-learning-in-school-age-children
#7
Piera Filippi, Sabine Laaha, W Tecumseh Fitch
We investigated the effects of word order and prosody on word learning in school-age children. Third graders viewed photographs belonging to one of three semantic categories while hearing four-word nonsense utterances containing a target word. In the control condition, all words had the same pitch and, across trials, the position of the target word was varied systematically within each utterance. The only cue to word-meaning mapping was the co-occurrence of target words and referents. This cue was present in all conditions...
August 2017: Royal Society Open Science
https://www.readbyqxmd.com/read/28875402/stable-scalp-eeg-spatiospectral-patterns-across-paradigms-estimated-by-group-ica
#8
René Labounek, David A Bridwell, Radek Mareček, Martin Lamoš, Michal Mikl, Tomáš Slavíček, Petr Bednařík, Jaromír Baštinec, Petr Hluštík, Milan Brázdil, Jiří Jan
Electroencephalography (EEG) oscillations reflect the superposition of different cortical sources with potentially different frequencies. Various blind source separation (BSS) approaches have been developed and implemented in order to decompose these oscillations, and a subset of approaches have been developed for decomposition of multi-subject data. Group independent component analysis (Group ICA) is one such approach, revealing spatiospectral maps at the group level with distinct frequency and spatial characteristics...
September 5, 2017: Brain Topography
https://www.readbyqxmd.com/read/28874542/self-report-captures-27-distinct-categories-of-emotion-bridged-by-continuous-gradients
#9
Alan S Cowen, Dacher Keltner
Emotions are centered in subjective experiences that people represent, in part, with hundreds, if not thousands, of semantic terms. Claims about the distribution of reported emotional states and the boundaries between emotion categories-that is, the geometric organization of the semantic space of emotion-have sparked intense debate. Here we introduce a conceptual framework to analyze reported emotional states elicited by 2,185 short videos, examining the richest array of reported emotional experiences studied to date and the extent to which reported experiences of emotion are structured by discrete and dimensional geometries...
September 5, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28867555/lexical-access-in-semantic-variant-ppa-evidence-for-a-post-semantic-contribution-to-naming-deficits
#10
Stephen M Wilson, Charlotte Dehollain, Sophie Ferrieux, Laura Hook, Marc Teichmann
The most salient clinical symptom of semantic variant primary progressive aphasia (PPA) is a profound and pervasive anomia. These patients' naming impairments have been shown to reflect in large part a domain-general deterioration of conceptual knowledge that impacts both linguistic and non-linguistic processing. However, it is possible that post-semantic stages of lexical access may also contribute to naming deficits. To clarify the stages at which lexical access breaks down in semantic variant PPA, eleven French-speaking patients were asked to name objects, and were then queried for semantic, lexical-syntactic, and word form information pertaining to the items they could not name...
August 31, 2017: Neuropsychologia
https://www.readbyqxmd.com/read/28864104/classifying-patient-portal-messages-using-convolutional-neural-networks
#11
Lina Sulieman, David Gilmore, Christi French, Robert M Cronin, Gretchen Purcell Jackson, Matthew Russell, Daniel Fabbri
OBJECTIVE: atients communicate with healthcare providers via secure messaging in patient portals. As patient portal adoption increases, growing messaging volumes may overwhelm providers. Prior research has demonstrated promise in automating classification of patient portal messages into communication types to support message triage or answering. This paper examines if using semantic features and word context improves portal message classification. MATERIALS AND METHODS: ortal messages were classified into the following categories: informational, medical, social, and logistical...
August 29, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28863855/implicit-guidance-of-attention-the-priority-state-space-framework
#12
REVIEW
Rebecca M Todd, Maria G M Manaligod
Visual selective attention is the process by which we tune ourselves to the world so that, of the millions of bits per second transmitted by the retina, the information that is most important to us reaches awareness and directs action. Recently, new areas of attention research have opened up as classic models dividing attention into top-down and bottom-up systems have been challenged. In this paper, we propose a theoretical framework, the priority state space (PSS) framework, integrating sources of salience that guide visual attention according to a nested hierarchy of goals...
August 10, 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28859829/multi-model-based-interactive-authoring-environment-for-creating-shareable-medical-knowledge
#13
Taqdir Ali, Maqbool Hussain, Wajahat Ali Khan, Muhammad Afzal, Jamil Hussain, Rahman Ali, Waseem Hassan, Arif Jamshed, Byeong Ho Kang, Sungyoung Lee
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 smart environments, they lack support for abstraction of technology-oriented knowledge from physicians. Therefore, abstraction in the form of a user-friendly and flexible authoring environment is required in order for physicians to create shareable and interoperable knowledge for CDSS workflows...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28857601/phonological-ambiguity-modulates-resolution-of-semantic-ambiguity-during-reading-an-fmri-study-of-hebrew
#14
Tali Bitan, Asaf Kaftory, Adi Meiri-Leib, Zohar Eviatar, Orna Peleg
OBJECTIVES: The current fMRI study examined the role of phonology in the extraction of meaning from print in each hemisphere by comparing homophonic and heterophonic homographs (ambiguous words in which both meanings have the same or different sounds respectively, e.g., bank or tear). The analysis distinguished between the first phase, in which participants read ambiguous words without context, and the second phase in which the context resolves the ambiguity. METHOD: Native Hebrew readers were scanned during semantic relatedness judgments on pairs of words in which the first word was either a homophone or a heterophone and the second word was related to its dominant or subordinate meaning...
August 31, 2017: Neuropsychology
https://www.readbyqxmd.com/read/28852890/body-representation-in-patients-after-vascular-brain-injuries
#15
Magdalena Razmus
Neuropsychological literature suggests that body representation is a multidimensional concept consisting of various types of representations. Previous studies have demonstrated dissociations between three types of body representation specified by the kind of data and processes, i.e. body schema, body structural description, and body semantics. The aim of the study was to describe the state of body representation in patients after vascular brain injuries and to provide evidence for the different types of body representation...
August 29, 2017: Cognitive Processing
https://www.readbyqxmd.com/read/28844750/integrating-cancer-diagnosis-terminologies-based-on-logical-definitions-of-snomed-ct-concepts
#16
Jean Noël Nikiema, Vianney Jouhet, Fleur Mougin
In oncology, the reuse of data is confronted with the heterogeneity of terminologies. It is necessary to semantically integrate these distinct terminologies. The semantic integration by using a third terminology as a support is a conventional approach for the integration of two terminologies that are not very structured. The aim of our study was to use SNOMED CT for integrating ICD-10 and ICD-O3. We used two complementary resources, mapping tables provided by SNOMED CT and the NCI Metathesaurus, in order to find mappings between ICD-10 or ICD-O3 concepts and SNOMED CT concepts...
August 24, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28835619/the-zero-effect-voxel-based-lesion-symptom-mapping-of-number-transcoding-errors-following-stroke
#17
Marleen Haupt, Céline R Gillebert, Nele Demeyere
Zero represents a special case in our numerical system because it is not represented on a semantic level. Former research has shown that this can lead to specific impairments when transcoding numerals from dictation to written digits. Even though, number processing is considered to be dominated by the left hemisphere, studies have indicated that both left as well as right hemispheric stroke patients commit errors when transcoding numerals including zeros. Here, for the first time, a large sample of subacute stroke patients (N = 667) was assessed without being preselected based on the location of their lesion, or a specific impairment in transcoding zero...
August 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28806953/a-fast-healthcare-interoperability-resources-fhir-layer-implemented-over-i2b2
#18
Abdelali Boussadi, Eric Zapletal
BACKGROUND: Standards and technical specifications have been developed to define how the information contained in Electronic Health Records (EHRs) should be structured, semantically described, and communicated. Current trends rely on differentiating the representation of data instances from the definition of clinical information models. The dual model approach, which combines a reference model (RM) and a clinical information model (CIM), sets in practice this software design pattern. The most recent initiative, proposed by HL7, is called Fast Health Interoperability Resources (FHIR)...
August 14, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28800619/-what-is-relevant-in-a-text-document-an-interpretable-machine-learning-approach
#19
Leila Arras, Franziska Horn, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Text documents can be described by a number of abstract concepts such as semantic category, writing style, or sentiment. Machine learning (ML) models have been trained to automatically map documents to these abstract concepts, allowing to annotate very large text collections, more than could be processed by a human in a lifetime. Besides predicting the text's category very accurately, it is also highly desirable to understand how and why the categorization process takes place. In this paper, we demonstrate that such understanding can be achieved by tracing the classification decision back to individual words using layer-wise relevance propagation (LRP), a recently developed technique for explaining predictions of complex non-linear classifiers...
2017: PloS One
https://www.readbyqxmd.com/read/28783650/automatic-polyp-detection-via-a-novel-unified-bottom-up-and-top-down-saliency-approach
#20
Yixuan Yuan, Dengwang Li, Max Q-H Meng
In this paper, we propose a novel automatic computer-aided method to detect polyps for colonoscopy videos. To find the perceptually and semantically meaningful salient polyp regions, we first segment images into multilevel superpixels. Each level corresponds to different sizes of superpixels. Rather than adopting hand-designed features to describe these superpixels in images, we employ sparse autoencoder (SAE) to learn discriminative features in an unsupervised way. Then a novel unified bottom-up and top-down saliency method is proposed to detect polyps...
July 31, 2017: IEEE Journal of Biomedical and Health Informatics
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