keyword
MENU ▼
Read by QxMD icon Read
search

lexicon

keyword
https://www.readbyqxmd.com/read/29350328/uyghur-text-matching-in-graphic-images-for-biomedical-semantic-analysis
#1
Shancheng Fang, Hongtao Xie, Zhineng Chen, Yizhi Liu, Yan Li
How to read Uyghur text from biomedical graphic images is a challenge problem due to the complex layout and cursive writing of Uyghur. In this paper, we propose a system that extracts text from Uyghur biomedical images, and matches the text in a specific lexicon for semantic analysis. The proposed system possesses following distinctive properties: first, it is an integrated system which firstly detects and crops the Uyghur text lines using a single fully convolutional neural network, and then keywords in the lexicon are matched by a well-designed matching network...
January 19, 2018: Neuroinformatics
https://www.readbyqxmd.com/read/29343736/establishing-a-mental-lexicon-with-cochlear-implants-an-erp-study-with-young-children
#2
Niki K Vavatzanidis, Dirk Mürbe, Angela D Friederici, Anja Hahne
In the present study we explore the implications of acquiring language when relying mainly or exclusively on input from a cochlear implant (CI), a device providing auditory input to otherwise deaf individuals. We focus on the time course of semantic learning in children within the second year of implant use; a period that equals the auditory age of normal hearing children during which vocabulary emerges and extends dramatically. 32 young bilaterally implanted children saw pictures paired with either matching or non-matching auditory words...
January 17, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29334119/evaluation-of-four-variants-of-the-thyroid-imaging-reporting-and-data-system-tirads-classification-in-patients-with-multinodular-goiter
#3
Bartosz Migda, Michal Migda, Anna Marta Migda, Jacek Bierca, Jadwiga Slowniska-Srzednicka, Wieslaw Jakubowski, Rafal Zenon Slapa
Purpose The goal this study was to evaluate the utility of four variants of the Thyroid Imaging Reporting and Data System (TIRADS) in the differentiation of focal lesions in individuals with multinodular goiter. Materials and Methods The study was approved by the Local Bioethical Committee. Each patient gave informed consent before enrolment. A total of 163 nodules in 124 patients with multinodular goiter were evaluated by ultrasound. B-mode and PD imaging and strain elastography were performed. Archived images were evaluated via retrospective analysis using four different proposed TIRADS classifications Results Sensitivity and specificity of the Horvath, Park, Kwak, and Russ classifications were 0...
January 15, 2018: Endokrynologia Polska
https://www.readbyqxmd.com/read/29331250/inferred-joint-multigram-models-for-medical-term-normalization-according-to-icd
#4
Alicia Pérez, Aitziber Atutxa, Arantza Casillas, Koldo Gojenola, Álvaro Sellart
BACKGROUND: Electronic Health Records (EHRs) are written using spontaneous natural language. Often, terms do not match standard terminology like the one available through the International Classification of Diseases (ICD). OBJECTIVE: Information retrieval and exchange can be improved using standard terminology. Our aim is to render diagnostic terms written in spontaneous language in EHRs into the standard framework provided by the ICD. METHODS: We tackle diagnostic term normalization employing Weighted Finite-State Transducers (WFSTs)...
February 2018: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/29330681/verification-of-nonwords-the-baseword-frequency-effect-in-children-s-pseudohomophone-reading
#5
Simon P Tiffin-Richards, Sascha Schroeder
In this study, we investigated the baseword frequency effect in children and its implications for models of visual word recognition. The baseword frequency effect reflects the finding that response latencies in the lexical decision task to nonwords derived from high-frequency basewords (e.g., GREAN derived from GREEN) are shorter than for those derived from low-frequency basewords (e.g., SLEAT derived from SLEET). Importantly, the baseword frequency effect presents a challenge to current activation-based models of visual word recognition...
January 12, 2018: Psychonomic Bulletin & Review
https://www.readbyqxmd.com/read/29329435/expanding-a-radiology-lexicon-using-contextual-patterns-in-radiology-reports
#6
Bethany Percha, Yuhao Zhang, Selen Bozkurt, Daniel Rubin, Russ B Altman, Curtis P Langlotz
Objective: Distributional semantics algorithms, which learn vector space representations of words and phrases from large corpora, identify related terms based on contextual usage patterns. We hypothesize that distributional semantics can speed up lexicon expansion in a clinical domain, radiology, by unearthing synonyms from the corpus. Materials and Methods: We apply word2vec, a distributional semantics software package, to the text of radiology notes to identify synonyms for RadLex, a structured lexicon of radiology terms...
January 10, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29317040/molecular-breast-imaging-a-comprehensive-review
#7
Ashley I Huppe, Anita K Mehta, Rachel F Brem
Molecular breast imaging (MBI), also called breast-specific gamma imaging (BSGI), has been an integral component of our breast imaging practice for over a decade. Unlike mammography and ultrasound that are based on anatomy, MBI is a physiologic approach to breast cancer detection. MBI detects additional foci of occult breast cancer in 9.0% of women with newly diagnosed breast cancer, has a high sensitivity for detecting high-risk lesions, and detects 98% of invasive breast cancer and 91.0% of ductal carcinoma in situ...
February 2018: Seminars in Ultrasound, CT, and MR
https://www.readbyqxmd.com/read/29297367/disease-named-entity-recognition-from-biomedical-literature-using-a-novel-convolutional-neural-network
#8
Zhehuan Zhao, Zhihao Yang, Ling Luo, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang
BACKGROUND: Automatic disease named entity recognition (DNER) is of utmost importance for development of more sophisticated BioNLP tools. However, most conventional CRF based DNER systems rely on well-designed features whose selection is labor intensive and time-consuming. Though most deep learning methods can solve NER problems with little feature engineering, they employ additional CRF layer to capture the correlation information between labels in neighborhoods which makes them much complicated...
December 28, 2017: BMC Medical Genomics
https://www.readbyqxmd.com/read/29275493/automatic-decision-support-for-clinical-diagnostic-literature-using-link-analysis-in-a-weighted-keyword-network
#9
Shuqing Li, Ying Sun, Dagobert Soergel
We present a novel approach to recommending articles from the medical literature that support clinical diagnostic decision-making, giving detailed descriptions of the associated ideas and principles. The specific goal is to retrieve biomedical articles that help answer questions of a specified type about a particular case. Based on the filtered keywords, MeSH(Medical Subject Headings) lexicon and the automatically extracted acronyms, the relationship between keywords and articles was built. The paper gives a detailed description of the process of by which keywords were measured and relevant articles identified based on link analysis in a weighted keywords network...
December 23, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29261349/screening-for-lung-cancer-lexicon-for-communicating-with-health-care-providers
#10
Brett W Carter, John P Lichtenberger, Carol C Wu, Reginald F Munden
OBJECTIVE: The effectiveness of lung cancer screening with low-dose CT (LDCT) has been shown by multiple clinical trials, particularly the National Lung Screening Trial. Accurate communication of LDCT results to health care providers is critical to optimal patient care. CONCLUSION: The Lung CT Screening Reporting and Data System (Lung-RADS), a structured decision-oriented reporting system designed to minimize the rate of false-positive results and developed by the American College of Radiology, is recommended for use with all LDCT examinations...
December 20, 2017: AJR. American Journal of Roentgenology
https://www.readbyqxmd.com/read/29260158/chemical-strategies-to-unravel-bacterial-eukaryotic-signaling
#11
REVIEW
R Gregor, S David, M M Meijler
The common language of bacteria and higher life forms is a lexicon of small molecules that the research community is only beginning to decipher. While many new signaling molecules have been discovered in recent years, the identification of their targets is mostly lagging. This review will focus on the latest chemical-probe based research aimed at understanding how bacteria interact chemically with mammals and plants. In general, chemical biology strategies remain under-utilized in this complex field of research, with a few key exceptions, and we hope that this review encourages others to implement these techniques in their research...
December 20, 2017: Chemical Society Reviews
https://www.readbyqxmd.com/read/29258652/phonemic-feature-involvement-in-lexical-access-in-grades-3-and-5-evidence-from-visual-and-auditory-lexical-decision-tasks
#12
Karinne Sauval, Laetitia Perre, Séverine Casalis
Numerous studies have evidenced the involvement of the phonological code during visual word recognition not only in skilled adult readers but also in child readers. Moreover, in skilled adult readers, visual word processing has been shown to be sensitive to phonetic details such as phonemic features (e.g., manner of articulation, place of articulation, voicing and nasality in French) which are typically involved in phonological lexicon access during speech processing. In contrast, it is not known whether and when visual word recognition is affected by phonemic features during learning to read...
December 16, 2017: Acta Psychologica
https://www.readbyqxmd.com/read/29258379/auditory-and-visual-naming-tests-for-children
#13
Marla J Hamberger, William T Seidel, William S MacAllister, Mary Lou Smith
Assessment of naming in children has been hampered by the use of tests that were developed, either to assess naming in adults or to assess related verbal functions in children. We developed comparable visual naming test (VNT) and auditory description naming (ANT) specifically for children. We collected normative data, not only for accuracy, typically the sole performance measure, but also for response time (RT) and reliance on phonemic cuing. The normative sample consisted of 200 typically developing children, ages 6-15, with 40 children per 2-year age group (6-7, 8-9, 10-11, 12-13, and 14-15)...
December 20, 2017: Child Neuropsychology: a Journal on Normal and Abnormal Development in Childhood and Adolescence
https://www.readbyqxmd.com/read/29249911/lexical-reading-in-dysfluent-readers-of-german
#14
Melanie Gangl, Kristina Moll, Manon W Jones, Chiara Banfi, Gerd Schulte-Körne, Karin Landerl
Dyslexia in consistent orthographies like German is characterized by dysfluent reading, which is often assumed to result from failure to build up an orthographic lexicon and overreliance on decoding. However, earlier evidence indicates effects of lexical processing at least in some German dyslexic readers. We investigated variations in reading style in an eye-tracking paradigm with German dysfluent 3rd and 4th graders. Twenty-six TypFix-readers (fixation counts within the range of 47 age-matched typical readers) were compared with 42 HighFix-readers (increased fixation counts)...
2018: Scientific Studies of Reading
https://www.readbyqxmd.com/read/29241649/the-structure-of-the-mental-lexicon-what-primary-progressive-aphasias-reveal
#15
Clara Sanches, Alexandre Routier, Olivier Colliot, Marc Teichmann
Like recursive syntax, a structured mental lexicon is specific to the human species but its internal organization remains unclear. It is thought to contain information about the semantic, syntactic (e.g., gender) and formal (orthographic/phonological) features of a word. Previous studies suggested that these three components might be separated at the behavioral level and that they might be implemented by temporal cortices. However, the available investigations are based on case reports or small-cohort studies with patients demonstrating post-stroke aphasia, and they did not contrast the three lexical components in a directly comparable way...
December 11, 2017: Neuropsychologia
https://www.readbyqxmd.com/read/29229064/what-is-a-gesture-a-meaning-based-approach-to-defining-gestural-repertoires
#16
REVIEW
Catherine Hobaiter, Richard W Byrne
Current systems of categorising ape gestures are typically subjective, relying on human intuition. We have systematised the features on which categorization depends (movement; body part; one/both limbs; use of detached object; rhythmic repetition; contact with recipient), showing that a potential repertoire of over 1000 gestures is physically possible, as large as the lexicon of some languages. In contrast, little more than a tenth of these gestures is used in chimpanzee communication. The striking overlaps in repertoire found between populations and even species of great ape are evidently not a result of a restricted set of possible gestures...
November 2017: Neuroscience and Biobehavioral Reviews
https://www.readbyqxmd.com/read/29222083/an-anglo-american-medical-lexicon
#17
Martin Kaminski
No abstract text is available yet for this article.
December 8, 2017: BMJ: British Medical Journal
https://www.readbyqxmd.com/read/29220457/multi-field-query-expansion-is-effective-for-biomedical-dataset-retrieval
#18
Mohamed Reda Bouadjenek, Karin Verspoor
In the context of the bioCADDIE challenge addressing information retrieval of biomedical datasets, we propose a method for retrieval of biomedical data sets with heterogenous schemas through query reformulation. In particular, the method proposed transforms the initial query into a multi-field query that is then enriched with terms that are likely to occur in the relevant datasets. We compare and evaluate two query expansion strategies, one based on the Rocchio method and another based on a biomedical lexicon...
January 1, 2017: Database: the Journal of Biological Databases and Curation
https://www.readbyqxmd.com/read/29217341/coronary-artery-disease-reporting-and-data-system-cad-radstm-inter-observer-agreement-for-assessment-categories-and-modifiers
#19
Christopher D Maroules, Christian Hamilton-Craig, Kelley Branch, James Lee, Roberto C Cury, Pál Maurovich-Horvat, Ronen Rubinshtein, Dustin Thomas, Michelle Williams, Yanshu Guo, Ricardo C Cury
BACKGROUND: The Coronary Artery Disease Reporting and Data System (CAD-RADS) provides a lexicon and standardized reporting system for coronary CT angiography. OBJECTIVES: To evaluate inter-observer agreement of the CAD-RADS among an panel of early career and expert readers. METHODS: Four early career and four expert cardiac imaging readers prospectively and independently evaluated 50 coronary CT angiography cases using the CAD-RADS lexicon...
December 5, 2017: Journal of Cardiovascular Computed Tomography
https://www.readbyqxmd.com/read/29214906/lingua-patientis-new-words-for-patient-communication-and-history-taking
#20
Donald F Weaver
The English language sometimes fails in its ability to describe the severity or complexity of medical symptoms and complaints. In frustration, patients (or families) occasionally create new words to convey the subtleties of their medical history. Although medicine has created a comprehensive technical lexicon for physicians, we have failed to develop a corresponding patient-centric vocabulary (lingua patientis) that provides more accurate symptom description. The social networking of lingua patientis words might enhance history taking and afford improved appreciation of disease impact on individual patients...
January 1, 2017: Scottish Medical Journal
keyword
keyword
90605
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"