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https://www.readbyqxmd.com/read/28614421/zero-calcium-score-as-a-filter-for-further-testing-in-patients-admitted-to-the-coronary-care-unit-with-chest-pain
#1
Luis Cláudio Lemos Correia, Fábio P Esteves, Manuela Carvalhal, Thiago Menezes Barbosa de Souza, Nicole de Sá, Vitor Calixto de Almeida Correia, Felipe Kalil Beirão Alexandre, Fernanda Lopes, Felipe Ferreira, Márcia Noya-Rabelo
Background: The accuracy of zero coronary calcium score as a filter in patients with chest pain has been demonstrated at the emergency room and outpatient clinics, populations with low prevalence of coronary artery disease (CAD). Objective: To test the gatekeeping role of zero calcium score in patients with chest pain admitted to the coronary care unit (CCU), where the pretest probability of CAD is higher than that of other populations. Methods: Patients underwent computed tomography for calcium scoring, and obstructive CAD was defined by a minimum 70% stenosis on invasive angiography...
June 12, 2017: Arquivos Brasileiros de Cardiologia
https://www.readbyqxmd.com/read/28600264/generalized-self-organizing-maps-for-automatic-determination-of-the-number-of-clusters-and-their-multiprototypes-in-cluster-analysis
#2
Marian B Gorzalczany, Filip Rudzinski
This paper presents a generalization of self-organizing maps with 1-D neighborhoods (neuron chains) that can be effectively applied to complex cluster analysis problems. The essence of the generalization consists in introducing mechanisms that allow the neuron chain--during learning--to disconnect into subchains, to reconnect some of the subchains again, and to dynamically regulate the overall number of neurons in the system. These features enable the network--working in a fully unsupervised way (i.e., using unlabeled data without a predefined number of clusters)--to automatically generate collections of multiprototypes that are able to represent a broad range of clusters in data sets...
June 7, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28600259/local-nearest-neighbors-based-feature-weighting-for-gene-selection
#3
Shuai An, Jun Wang, Jinmao Wei
Selecting functional genes is essential for analyzing microarray data. Among many available feature (gene) selection approaches, the ones on the basis of the large margin nearest neighbor receive more attention due to their low computational costs and high accuracies in analyzing the high-dimensional data. Yet there still exist some problems that hamper the existing approaches in sifting real target genes, including selecting erroneous nearest neighbors, high sensitivity to irrelevant genes, and inappropriate evaluation criteria...
June 7, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28586769/validation-of-surrogates-of-urine-osmolality-in-population-studies
#4
Sonia Youhanna, Lise Bankir, Paul Jungers, David Porteous, Ozren Polasek, Murielle Bochud, Caroline Hayward, Olivier Devuyst
BACKGROUND: The importance of vasopressin and/or urine concentration in various kidney, cardiovascular, and metabolic diseases has been emphasized recently. Due to technical constraints, urine osmolality (Uosm), a direct reflect of urinary concentrating activity, is rarely measured in epidemiologic studies. METHODS: We analyzed 2 possible surrogates of Uosm in 4 large population-based cohorts (total n = 4,247) and in patients with chronic kidney disease (CKD, n = 146)...
June 7, 2017: American Journal of Nephrology
https://www.readbyqxmd.com/read/28562746/perioperative-fasting-time-among-cancer-patients-submitted-to-gastrointestinal-surgeries
#5
Nayara de Castro Pereira, Ruth Natalia Teresa Turrini, Vanessa de Brito Poveda
OBJECTIVE: To identify the length of perioperative fasting among patients submitted to gastrointestinal cancer surgeries. METHOD: Retrospective cohort study, developed by consulting the medical records of 128 patients submitted to gastrointestinal cancer surgeries. RESULTS: The mean of total length of fasting was 107.6 hours. The total length of fasting was significantly associated with the number of symptoms presented before (p=0.000) and after the surgery (p=0...
May 25, 2017: Revista da Escola de Enfermagem da U S P
https://www.readbyqxmd.com/read/28542266/underwater-sonar-image-detection-a-combination-of-non-local-spatial-information-and-quantum-inspired-shuffled-frog-leaping-algorithm
#6
Xingmei Wang, Shu Liu, Zhipeng Liu
This paper proposes a combination of non-local spatial information and quantum-inspired shuffled frog leaping algorithm to detect underwater objects in sonar images. Specifically, for the first time, the problem of inappropriate filtering degree parameter which commonly occurs in non-local spatial information and seriously affects the denoising performance in sonar images, was solved with the method utilizing a novel filtering degree parameter. Then, a quantum-inspired shuffled frog leaping algorithm based on new search mechanism (QSFLA-NSM) is proposed to precisely and quickly detect sonar images...
2017: PloS One
https://www.readbyqxmd.com/read/28534778/the-lloydrelaxer-an-approach-to-minimize-scaling-effects-for-multivariate-projections
#7
Dirk J Lehmann, Holger Theisel
Star Coordinates are a popular projection technique in order to analyze and to disclose characteristic patterns of multidimensional data. Unfortunately, the shape, appearance, and distribution of such patterns are strongly affected by the given scaling of the data and can mislead the projection-based data analysis. In an extreme case, patterns might be more related to the choice of scaling than to the data themselves. Thus, we present the LloydRelaxer : a tool to minimize scaling-based effects in Star Coordinates...
May 17, 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28533819/the-optimal-crowd-learning-machine
#8
Bilguunzaya Battogtokh, Majid Mojirsheibani, James Malley
BACKGROUND: Any family of learning machines can be combined into a single learning machine using various methods with myriad degrees of usefulness. RESULTS: For making predictions on an outcome, it is provably at least as good as the best machine in the family, given sufficient data. And if one machine in the family minimizes the probability of misclassification, in the limit of large data, then Optimal Crowd does also. That is, the Optimal Crowd is asymptotically Bayes optimal if any machine in the crowd is such...
2017: BioData Mining
https://www.readbyqxmd.com/read/28458686/a-global-relationship-dissimilarity-measure-for-the-k-modes-clustering-algorithm
#9
Hongfang Zhou, Yihui Zhang, Yibin Liu
The k-modes clustering algorithm has been widely used to cluster categorical data. In this paper, we firstly analyzed the k-modes algorithm and its dissimilarity measure. Based on this, we then proposed a novel dissimilarity measure, which is named as GRD. GRD considers not only the relationships between the object and all cluster modes but also the differences of different attributes. Finally the experiments were made on four real data sets from UCI. And the corresponding results show that GRD achieves better performance than two existing dissimilarity measures used in k-modes and Cao's algorithms...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28444127/hla-class-i-binding-prediction-via-convolutional-neural-networks
#10
Yeeleng S Vang, Xiaohui Xie
Motivation: Many biological processes are governed by protein-ligand interactions. One such example is the recognition of self and nonself cells by the immune system. This immune response process is regulated by the major histocompatibility complex (MHC) protein which is encoded by the human leukocyte antigen (HLA) complex. Understanding the binding potential between MHC and peptides can lead to the design of more potent, peptide-based vaccines and immunotherapies for infectious autoimmune diseases...
April 21, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28422695/on-the-impact-of-regularization-variation-on-localized-multiple-kernel-learning
#11
Yina Han, Kunde Yang, Yixin Yang, Yuanliang Ma
This brief analyzes the effects of regularization variations in the localized kernel weights on the hypothesis generated by localized multiple kernel learning (LMKL) algorithms. Recent research on LMKL includes imposing different regularizations on the localized kernel weights and has led to varying formulations and solution strategies. Following the stability analysis theory as presented by Bousquet and Elisseeff, we give stability bounds based on the norm of the variation of localized kernel weights for three LMKL methods cast in the support vector machine classification framework, including vector ℓp-norm LMKL, matrix-regularized (r,p)-norm LMKL, and samplewise ℓp-norm LMKL...
April 12, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28403334/patient-safety-incidents-and-nursing-workload
#12
Katya Cuadros Carlesi, Kátia Grillo Padilha, Maria Cecília Toffoletto, Carlos Henriquez-Roldán, Monica Andrea Canales Juan
Objective: to identify the relationship between the workload of the nursing team and the occurrence of patient safety incidents linked to nursing care in a public hospital in Chile. Method: quantitative, analytical, cross-sectional research through review of medical records. The estimation of workload in Intensive Care Units (ICUs) was performed using the Therapeutic Interventions Scoring System (TISS-28) and for the other services, we used the nurse/patient and nursing assistant/patient ratios...
April 6, 2017: Revista Latino-americana de Enfermagem
https://www.readbyqxmd.com/read/28380163/aging-as-a-predictor-of-nursing-workload-in-intensive-care-unit-results-from-a-brazilian-sample
#13
Renata Eloah de Lucena Ferretti-Rebustini, Lilia de Souza Nogueira, Rita de Cassia Gengo E Silva, Vanessa de Brito Poveda, Selma Pinheiro Machado, Elaine Machado de Oliveira, Rafaela Andolhe, Katia Grillo Padilha
OBJECTIVE: Verify if aging is an independent predictor of NW in ICU, according to age groups, and its predictive value as a determinant of NW in ICU. METHODS: Study was conducted from 2012 to 2016. A convenience sample composed by patients (age ≥ 18) admitted to nine ICU belonging to a Brazilian hospital, was analyzed. Age was assumed as an independent variable and NW (measured by the Nursing Activities Score - NAS) as dependent. Linear regression model and ROC curve were used for the analysis...
April 3, 2017: Revista da Escola de Enfermagem da U S P
https://www.readbyqxmd.com/read/28334276/motifmap-rna-a-genome-wide-map-of-rbp-binding-sites
#14
Yu Liu, Sha Sun, Timothy Bredy, Marcelo Wood, Robert C Spitale, Pierre Baldi
Motivation: RNA plays a critical role in gene expression and its regulation. RNA binding proteins (RBPs), in turn, are important regulators of RNA. Thanks to the availability of large scale data for RBP binding motifs and in vivo binding sites results in the form of eCLIP experiments, it is now possible to computationally predict RBP binding sites across the whole genome. Results: We describe MotifMap-RNA, an extension of MotifMap which predicts binding sites for RBP motifs across human and mouse genomes and allows large scale querying of predicted binding sites...
February 22, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28292305/possible-misdiagnosis-of-hiv-associated-lymphoma-as-tuberculosis-among-patients-attending-uganda-cancer-institute
#15
Paul Buyego, Lydia Nakiyingi, Henry Ddungu, Stephen Walimbwa, Damalie Nalwanga, Steven J Reynolds, Rosalind Parkes-Ratanshi
BACKGROUND: Early diagnosis of HIV associated lymphoma is challenging because the definitive diagnostic procedure of biopsy, requires skills and equipment that are not readily available. As a consequence, diagnosis may be delayed increasing the risk of mortality. We set out to determine the frequency and risk factors associated with the misdiagnosis of HIV associated lymphoma as tuberculosis (TB) among patients attending the Uganda Cancer Institute (UCI). METHODS: A retrospective cohort study design was used among HIV patients with associated lymphoma patients attending the UCI, Kampala, Uganda between February and March 2015...
March 14, 2017: AIDS Research and Therapy
https://www.readbyqxmd.com/read/28292263/cure-smote-algorithm-and-hybrid-algorithm-for-feature-selection-and-parameter-optimization-based-on-random-forests
#16
Li Ma, Suohai Fan
BACKGROUND: The random forests algorithm is a type of classifier with prominent universality, a wide application range, and robustness for avoiding overfitting. But there are still some drawbacks to random forests. Therefore, to improve the performance of random forests, this paper seeks to improve imbalanced data processing, feature selection and parameter optimization. RESULTS: We propose the CURE-SMOTE algorithm for the imbalanced data classification problem...
March 14, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28290730/qualitative-video-analysis-of-track-cycling-team-pursuit-in-world-class-athletes
#17
Samuel Sigrist, Thomas Maier, Raphael Faiss
PURPOSE: Track cycling team pursuit (TP) is a highly technical effort involving 4 athletes completing 4 km from a standing start often in less than 240 s. Transitions between athletes leading the team are obviously of utmost importance. The aim of this study is to perform qualitative video analyses of transitions of world-class athletes in team pursuit competitions. METHODS: Videos captured at 100 Hz were recorded for 77 races (including 96 different athletes) in 5 international track cycling competitions (e...
March 14, 2017: International Journal of Sports Physiology and Performance
https://www.readbyqxmd.com/read/28226040/assessing-the-adequacy-of-workload-measurement-tools-using-a-quality-based-methodology
#18
Maria Fuensanta Hellín Gil, Maria José López Montesinos, Ana Myriam Seva Llor, Maria Pilar Ferrer Bas, Maria Loreto Maciá Soler
Objective: determine which tool (NEMS and NAS) is most suitable for use in intensive care units using a quality-based methodology. Method: after identifying the opportunity for improvement "Inadequacy of the NEMS for determining nursing workload in the intensive care unit (ICU)", we assessed the NEMS and the NAS, as a proposed improvement to the NEMS, using quality improvement cycles methodology based on the following criteria: measurement of daily nursing workload on a daily and shift basis; the tool encompasses all nursing activities undertaken in the ICU; and workload assessed per patient and unit...
January 2017: Revista Brasileira de Enfermagem
https://www.readbyqxmd.com/read/28185440/influence-of-gender-on-visual-shade-matching-in-dentistry
#19
Oscar E Pecho, Razvan Ghinea, Maria M Perez, Alvaro Della Bona
OBJECTIVE: Accuracy on visual shade matching (VSM) is one of the most difficult procedures in esthetic dentistry. Some variables can influence on this process and gender is one of the most controversial. This observational study evaluated the influence of gender on accuracy of VSM. MATERIALS AND METHODS: One-hundred observers (65 females and 35 males) shade matched four human upper central incisors (UCI) to shade tabs from Vita Classical (VC) shade guide. In addition, the spectral reflectance values from the four UCI and from the 16 VC shade tabs were measured using a spectroradiometer (SP)...
April 2017: Journal of Esthetic and Restorative Dentistry
https://www.readbyqxmd.com/read/28179292/effect-of-androgen-on-normal-biodistribution-of-18-f-2-fluoro-5-methyl-1-beta-d-arabinofuranosyluracil-18f-fmau-in-athymic-non-tumor-bearing-male-mice
#20
Hossein Jadvar, Ryan Park, Li-Peng Yap, Kai Chen, Lindsey Hughes, Peter Conti
AIM: We assessed the association between the presence and absence of androgen on the normal biodistribution of the positron emission tomography (PET) cellular proliferation imaging biomarker, [(18)F]-2'-Fluoro-5-methyl-1-beta-D-arabinofuranosyluracil ((18)F-FMAU), in mice. MATERIALS AND METHODS: Non-castrated (n=4) and castrated (n=4) athymic non-tumor-bearing male mice served as models for presence and absence, respectively, of androgen. MicroPET-CT scans were performed 1 h following tail vein administration of 200 uCi of (18)F-FMAU...
February 2017: Anticancer Research
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