keyword
MENU ▼
Read by QxMD icon Read
search

Dictionary

keyword
https://www.readbyqxmd.com/read/28512467/extra-facial-landmark-localization-via-global-shape-reconstruction
#1
Shuqiu Tan, Dongyi Chen, Chenggang Guo, Zhiqi Huang
Localizing facial landmarks is a popular topic in the field of face analysis. However, problems arose in practical applications such as handling pose variations and partial occlusions while maintaining moderate training model size and computational efficiency still challenges current solutions. In this paper, we present a global shape reconstruction method for locating extra facial landmarks comparing to facial landmarks used in the training phase. In the proposed method, the reduced configuration of facial landmarks is first decomposed into corresponding sparse coefficients...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28511418/screening-in-public-health-and-clinical-care-similarities-and-differences-in-definitions-types-and-aims-a-systematic-review
#2
REVIEW
Mark Speechley, Abraham Kunnilathu, Eby Aluckal, M S Balakrishna, Benoy Mathew, Eldhose K George
INTRODUCTION: The concept of screening can be many times misleading to many people. This may be partly due to the way screening is described and explained in textbooks and journal articles. AIM: To review prominent public health and epidemiology textbooks, dictionaries, and relevant journal publications for definitions and examples of screening, with the aim of identifying common usages and concepts, as well as sources of potential confusion. MATERIALS AND METHODS: Commonly available epidemiology and public health textbooks and peer reviewed journals were searched for definitions and examples of screening...
March 2017: Journal of Clinical and Diagnostic Research: JCDR
https://www.readbyqxmd.com/read/28500002/cross-label-suppression-a-discriminative-and-fast-dictionary-learning-with-group-regularization
#3
Xiudong Wang, Yuantao Gu
This paper addresses image classification through learning a compact and discriminative dictionary efficiently. Given a structured dictionary with each atom (columns in the dictionary matrix) related to some label, we propose crosslabel suppression constraint to enlarge the difference among representations for different classes. Meanwhile, we introduce group regularization to enforce representations to preserve label properties of original samples, meaning the representations for the same class are encouraged to be similar...
May 10, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28495354/tafenoquine-for-malaria-prophylaxis-in-adults-an-integrated-safety-analysis
#4
Anne Novitt-Moreno, Janet Ransom, Geoffrey Dow, Bryan Smith, Lisa Thomas Read, Stephen Toovey
BACKGROUND: Tafenoquine is a new prophylactic antimalarial drug. The current analysis presents an integrated safety assessment of the Tafenoquine Anticipated Clinical Regimen (Tafenoquine ACR) from 5 clinical trials, including 1 conducted in deployed military personnel and 4 in non-deployed residents, which also incorporated placebo and mefloquine comparator groups. METHODS: Adverse events (AEs) were coded according to the Medical Dictionary for Regulatory Activities (MedDRA(®), Version 15...
May 8, 2017: Travel Medicine and Infectious Disease
https://www.readbyqxmd.com/read/28481759/challenges-to-the-standardization-of-burn-data-collection-a-call-for-common-data-elements-for-burn-care
#5
Jeffrey C Schneider, Liang Chen, Laura C Simko, Katherine N Warren, Brian Phu Nguyen, Catherine R Thorpe, James C Jeng, William L Hickerson, Lewis E Kazis, Colleen M Ryan
The use of common data elements (CDEs) is growing in medical research; CDEs have demonstrated benefit in maximizing the impact of existing research infrastructure and funding. However, the field of burn care does not have a standard set of CDEs. The objective of this study is to examine the extent of common data collected in current burn databases. This study examines the data dictionaries of six U.S. burn databases to ascertain the extent of common data. This was assessed from a quantitative and qualitative perspective...
May 4, 2017: Journal of Burn Care & Research: Official Publication of the American Burn Association
https://www.readbyqxmd.com/read/28476288/adverse-events-associated-with-unblinded-but-not-with-blinded-statin-therapy-in-the-anglo-scandinavian-cardiac-outcomes-trial-lipid-lowering-arm-ascot-lla-a-randomised-double-blind-placebo-controlled-trial-and-its-non-randomised-non-blind-extension-phase
#6
Ajay Gupta, David Thompson, Andrew Whitehouse, Tim Collier, Bjorn Dahlof, Neil Poulter, Rory Collins, Peter Sever
BACKGROUND: In blinded randomised controlled trials, statin therapy has been associated with few adverse events (AEs). By contrast, in observational studies, larger increases in many different AEs have been reported than in blinded trials. METHODS: In the Lipid-Lowering Arm of the Anglo-Scandinavian Cardiac Outcomes Trial, patients aged 40-79 years with hypertension, at least three other cardiovascular risk factors, and fasting total cholesterol concentrations of 6·5 mmol/L or lower, and who were not taking a statin or fibrate, had no history of myocardial infarction, and were not being treated for angina were randomly assigned to atorvastatin 10 mg daily or matching placebo in a randomised double-blind placebo-controlled phase...
May 2, 2017: Lancet
https://www.readbyqxmd.com/read/28475057/discriminative-nonlinear-analysis-operator-learning-when-cosparse-model-meets-image-classification
#7
Zaidao Wen, Biao Hou, Licheng Jiao
Linear synthesis model based dictionary learning framework has achieved remarkable performances in image classification in the last decade. Behaved as a generative feature model, it however suffers from some intrinsic deficiencies. In this paper, we propose a novel parametric nonlinear analysis cosparse model (NACM) with which a unique feature vector will be much more efficiently extracted. Additionally, we derive a deep insight to demonstrate that NACM is capable of simultaneously learning the task adapted feature transformation and regularization to encode our preferences, domain prior knowledge and task oriented supervised information into the features...
May 3, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28475055/single-image-super-resolution-using-gaussian-process-regression-with-dictionary-based-sampling-and-student-t-likelihood
#8
Haijun Wang, Xinbo Gao, Kaibing Zhang, Jie Li
Gaussian process regression (GPR) is an effective statistical learning method for modeling non-linear mapping from an observed space to an expected latent space. When applying it to example learning-based super-resolution (SR), two outstanding issues remain. One is its high computational complexity restricts SR application when a large dataset is available for learning task. The other is that the commonly used Gaussian likelihood in GPR is incompatible with the true observation model for SR reconstruction. To alleviate the above two issues, we propose a GPR-based SR method by using dictionary-based sampling and student-t likelihood, called DSGPR...
May 3, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28469434/analysis-of-individual-differences-in-vaccine-pharmacovigilance-using-vaers-data-and-meddra-system-organ-classes-a-use-case-study-with-trivalent-influenza-vaccine
#9
Jingcheng Du, Yi Cai, Yong Chen, Yongqun He, Cui Tao
Personalized and precision vaccination requires consideration of an individual's sex and age. This article proposed systematic methods to study individual differences in adverse reactions following vaccination and chose trivalent influenza vaccine as a use case. Data were extracted from the Vaccine Adverse Event Reporting System from years 1990 to 2014. We first grouped symptoms into the Medical Dictionary for Regulatory Activities System Organ Classes (SOCs). We then applied zero-truncated Poisson regression and logistic regression to identify reporting differences among different individual groups over the SOCs...
2017: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/28464923/enriching-the-international-clinical-nomenclature-with-chinese-daily-used-synonyms-and-concept-recognition-in-physician-notes
#10
Rui Zhang, Jialin Liu, Yong Huang, Miye Wang, Qingke Shi, Jun Chen, Zhi Zeng
BACKGROUND: It has been shown that the entities in everyday clinical text are often expressed in a way that varies from how they are expressed in the nomenclature. Owing to lots of synonyms, abbreviations, medical jargons or even misspellings in the daily used physician notes in clinical information system (CIS), the terminology without enough synonyms may not be adequately suitable for the task of Chinese clinical term recognition. METHODS: This paper demonstrates a validated system to retrieve the Chinese term of clinical finding (CTCF) from CIS and map them to the corresponding concepts of international clinical nomenclature, such as SNOMED CT...
May 2, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28463322/compressed-sampling-and-dictionary-learning-framework-for-wavelength-division-multiplexing-based-distributed-fiber-sensing
#11
Christian Weiss, Abdelhak M Zoubir
We propose a compressed sampling and dictionary learning framework for fiber-optic sensing using wavelength-tunable lasers. A redundant dictionary is generated from a model for the reflected sensor signal. Imperfect prior knowledge is considered in terms of uncertain local and global parameters. To estimate a sparse representation and the dictionary parameters, we present an alternating minimization algorithm that is equipped with a preprocessing routine to handle dictionary coherence. The support of the obtained sparse signal indicates the reflection delays, which can be used to measure impairments along the sensing fiber...
May 1, 2017: Journal of the Optical Society of America. A, Optics, Image Science, and Vision
https://www.readbyqxmd.com/read/28463189/basis-expansions-approaches-for-regularized-sequential-dictionary-learning-algorithms-with-enforced-sparsity-for-fmri-data-analysis
#12
Abd-Krim Seghouane, Asif Iqbal
Sequential dictionary learning algorithms have been successfully applied to functional magnetic resonance imaging (fMRI) data analysis. fMRI datasets are however structured data matrices with notions of temporal smoothness in the column direction. This prior information which can be converted to a constraint of smoothness on the learned dictionary atoms has seldomly been included in classical dictionary learning algorithms when applied to fMRI data analysis. In this paper we tackle this problem by proposing two new sequential dictionary learning algorithms dedicated to fMRI data analysis by accounting for this prior information...
April 28, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28459684/towards-robust-and-accurate-multi-view-and-partially-occluded-face-alignment
#13
Junliang Xing, Zhiheng Niu, Junshi Huang, Weiming Hu, Xi Zhou, Shuicheng Yan
Face alignment acts as an important task in computer vision. Regression-based methods currently dominate the approach to solving this problem, which generally employ a series of mapping functions from the face appearance to iteratively update the face shape hypothesis. One keypoint here is thus how to perform the regression procedure. In this work, we formulate this regression procedure as a sparse coding problem. We learn two relational dictionaries, one for the face appearance and the other one for the face shape, with coupled reconstruction coefficient to capture their underlying relationships...
April 25, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28458346/blood-pressure-elevation-associated-with-topical-prostaglandin-f2%C3%AE-analogs-an-analysis-of-the-different-spontaneous-adverse-event-report-databases
#14
Katsuhiro Ohyama, Haruna Kawakami, Michiko Inoue
Topical prostaglandin F2α (PGF2α) analogs are widely used as the first line of therapy for glaucoma. Systemic PGF2α is suggested to increase blood pressure. Some ophthalmic formulations with β-receptor blocking or α-receptor stimulating actions are reported to cause systemic adverse events such as a decrease in heart rate and blood pressure. The objective of this study was to evaluate the association between topical PGF2α analogs and blood pressure elevation. We analyzed the reports obtained from the Food and Drug Administration Adverse Event Reporting System (FAERS) database from the first quarter of 2004 until the end of 2015 and the Japanese Adverse Drug Event Report (JADER) database from April 2004 to January 2016 for signal detection using reporting odds ratio (ROR), a method of disproportionality analyses...
2017: Biological & Pharmaceutical Bulletin
https://www.readbyqxmd.com/read/28455150/evaluation-of-a-rule-based-method-for-epidemiological-document-classification-towards-the-automation-of-systematic-reviews
#15
George Karystianis, Kristina Thayer, Mary Wolfe, Guy Tsafnat
INTRODUCTION: Most data extraction efforts in epidemiology are focused on obtaining targeted information from clinical trials. In contrast, limited research has been conducted on the identification of information from observational studies, a major source for human evidence in many fields, including environmental health. The recognition of key epidemiological information (e.g., exposures) through text mining techniques can assist in the automation of systematic reviews and other evidence summaries...
April 25, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28448193/safety-and-effectiveness-of-etanercept-for-treatment-of-juvenile-idiopathic-arthritis-results-from-a-postmarketing-surveillance
#16
Masaaki Mori, Naonobu Sugiyama, Yosuke Morishima, Noriko Sugiyama, Takeshi Kokubo, Syuji Takei, Shumpei Yokota
OBJECTIVES: The objectives of this surveillance were to determine safety and effectiveness of etanercept in patients with juvenile idiopathic arthritis (JIA). METHODS: In this postmarketing surveillance, patients aged 5-16 years with active polyarthritis JIA were treated with etanercept at the doses approved in the Japanese package insert. The occurrence and seriousness of adverse events (AEs) were assessed using the Japanese Medical Dictionary for Regulatory Activities version 15...
April 27, 2017: Modern Rheumatology
https://www.readbyqxmd.com/read/28441770/direction-of-arrival-estimation-for-mimo-radar-via-unitary-nuclear-norm-minimization
#17
Xianpeng Wang, Mengxing Huang, Xiaoqin Wu, Guoan Bi
In this paper, we consider the direction of arrival (DOA) estimation issue of noncircular (NC) source in multiple-input multiple-output (MIMO) radar and propose a novel unitary nuclear norm minimization (UNNM) algorithm. In the proposed method, the noncircular properties of signals are used to double the virtual array aperture, and the real-valued data are obtained by utilizing unitary transformation. Then a real-valued block sparse model is established based on a novel over-complete dictionary, and a UNNM algorithm is formulated for recovering the block-sparse matrix...
April 24, 2017: Sensors
https://www.readbyqxmd.com/read/28439523/tsallis-entropy-and-sparse-reconstructive-dictionary-learning-for-exudate-detection-in-diabetic-retinopathy
#18
Vineeta Das, Niladri B Puhan
Computer-assisted automated exudate detection is crucial for large-scale screening of diabetic retinopathy (DR). The motivation of this work is robust and accurate detection of low contrast and isolated hard exudates using fundus imaging. Gabor filtering is first performed to enhance exudate visibility followed by Tsallis entropy thresholding. The obtained candidate exudate pixel map is useful for further removal of falsely detected candidates using sparse-based dictionary learning and classification. Two reconstructive dictionaries are learnt using the intensity, gradient, local energy, and transform domain features extracted from exudate and background patches of the training fundus images...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28436868/high-order-local-pooling-and-encoding-gaussians-over-a-dictionary-of-gaussians
#19
Peihua Li, Hui Zeng, Qilong Wang, Simon Shiu, Lei Zhang
Local pooling (LP) in configuration (feature) space proposed by Boureau et al. explicitly restricts similar features to be aggregated, which can preserve as much discriminative information as possible. At the time it appeared, this method combined with sparse coding achieved competitive classification results with only a small dictionary. However, its performance lags far behind state-of-the-art results as only zero-order information is exploited. Inspired by the success of high-order statistical information in existing advanced feature coding or pooling methods, we make an attempt to address the limitation of LP...
April 19, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28434089/pregnancy-and-kidney-disease-from-medicine-based-on-exceptions-to-exceptional-medicine
#20
EDITORIAL
Giorgina Barbara Piccoli, Gianfranca Cabiddu
The Webster dictionary defines exception as an anomaly, a person or thing that does not follow a rule, while the adjective exceptional has a different nuance, and means "above average". These two words may describe how obstetric nephrology has shifted from the description of very rare cases, to the development of a complex new and fascinating branch of medicine, that counterbalances obstetricians' usually optimistic outlook by focusing on subtle challenges posed by chronic diseases, and mitigate the frequently grim approach of nephrologists, with a message of hope: women with kidney disease can have the same basic life goals as healthy women their age...
April 22, 2017: Journal of Nephrology
keyword
keyword
32382
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"