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https://www.readbyqxmd.com/read/28292305/possible-misdiagnosis-of-hiv-associated-lymphoma-as-tuberculosis-among-patients-attending-uganda-cancer-institute
#1
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
#2
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
#3
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
#4
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
#5
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)...
February 10, 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
#6
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...
2017: Anticancer Research
https://www.readbyqxmd.com/read/28127385/a-hybrid-classification-system-for-heart-disease-diagnosis-based-on-the-rfrs-method
#7
Xiao Liu, Xiaoli Wang, Qiang Su, Mo Zhang, Yanhong Zhu, Qiugen Wang, Qian Wang
Heart disease is one of the most common diseases in the world. The objective of this study is to aid the diagnosis of heart disease using a hybrid classification system based on the ReliefF and Rough Set (RFRS) method. The proposed system contains two subsystems: the RFRS feature selection system and a classification system with an ensemble classifier. The first system includes three stages: (i) data discretization, (ii) feature extraction using the ReliefF algorithm, and (iii) feature reduction using the heuristic Rough Set reduction algorithm that we developed...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28113918/batch-mode-active-learning-for-regression-with-expected-model-change
#8
Wenbin Cai, Muhan Zhang, Ya Zhang
While active learning (AL) has been widely studied for classification problems, limited efforts have been done on AL for regression. In this paper, we introduce a new AL framework for regression, expected model change maximization (EMCM), which aims at choosing the unlabeled data instances that result in the maximum change of the current model once labeled. The model change is quantified as the difference between the current model parameters and the updated parameters after the inclusion of the newly selected examples...
April 20, 2016: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28113534/partial-label-learning-via-gaussian-processes
#9
Yu Zhou, Jianjun He, Hong Gu
Partial label learning (PL) is a new weakly supervised machine learning framework that addresses the problems where each training sample is associated with a candidate set of its actual label. Since precisely-labeled data are usually expensive and hard to obtain in practice, PL can be widely used in many real-world tasks. However, as the ambiguity in training data inevitably makes such learning framework difficult to address, only a few algorithms are available so far. In this paper, a new probabilistic kernel algorithm is proposed by employing the Gaussian process model...
October 4, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28113451/active-clustering-with-model-based-uncertainty-reduction
#10
Caiming Xiong, David M Johnson, Jason J Corso
Semi-supervised clustering seeks to augment traditional clustering methods by incorporating side information provided via human expertise in order to increase the semantic meaningfulness of the resulting clusters. However, most current methods are passive in the sense that the side information is provided beforehand and selected randomly. This may require a large number of constraints, some of which could be redundant, unnecessary, or even detrimental to the clustering results. Thus in order to scale such semi-supervised algorithms to larger problems it is desirable to pursue an active clustering method- i...
March 9, 2016: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28110724/avnm-a-voting-based-novel-mathematical-rule-for-image-classification
#11
Ankit Vidyarthi, Namita Mittal
BACKGROUND AND OBJECTIVES: In machine learning, the accuracy of the system depends upon classification result. Classification accuracy plays an imperative role in various domains. Non-parametric classifier like K-Nearest Neighbor (KNN) is the most widely used classifier for pattern analysis. Besides its easiness, simplicity and effectiveness characteristics, the main problem associated with KNN classifier is the selection of a number of nearest neighbors i.e. "k" for computation. At present, it is hard to find the optimal value of "k" using any statistical algorithm, which gives perfect accuracy in terms of low misclassification error rate...
December 2016: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28077889/differential-diagnosis-of-erythmato-squamous-diseases-using-classification-and-regression-tree
#12
Keivan Maghooli, Mostafa Langarizadeh, Leila Shahmoradi, Mahdi Habibi-Koolaee, Mohamad Jebraeily, Hamid Bouraghi
INTRODUCTION: Differential diagnosis of Erythmato-Squamous Diseases (ESD) is a major challenge in the field of dermatology. The ESD diseases are placed into six different classes. Data mining is the process for detection of hidden patterns. In the case of ESD, data mining help us to predict the diseases. Different algorithms were developed for this purpose. OBJECTIVE: we aimed to use the Classification and Regression Tree (CART) to predict differential diagnosis of ESD...
October 2016: Acta Informatica Medica: AIM
https://www.readbyqxmd.com/read/28068344/an-empirical-analysis-of-rough-set-categorical-clustering-techniques
#13
Jamal Uddin, Rozaida Ghazali, Mustafa Mat Deris
Clustering a set of objects into homogeneous groups is a fundamental operation in data mining. Recently, many attentions have been put on categorical data clustering, where data objects are made up of non-numerical attributes. For categorical data clustering the rough set based approaches such as Maximum Dependency Attribute (MDA) and Maximum Significance Attribute (MSA) has outperformed their predecessor approaches like Bi-Clustering (BC), Total Roughness (TR) and Min-Min Roughness(MMR). This paper presents the limitations and issues of MDA and MSA techniques on special type of data sets where both techniques fails to select or faces difficulty in selecting their best clustering attribute...
2017: PloS One
https://www.readbyqxmd.com/read/28032526/it-s-not-just-about-speed-reviewing-the-recumbent-bicycle-once-more
#14
Bernhard Wieser
Why did the recumbent bicycle never become a dominant design, despite the fact that it was faster than the safety bicycle on the racetrack? Hassaan Ahmed et al. argue in their recently published paper that the main reason for the marginalization of the recumbent bicycle was semiotic power deployed by the Union Cycliste Internationale (UCI). Here, I demonstrate that the authors drew their conclusions from an incomplete application of the Social Construction of Technology (SCOT) framework. Understanding the diffusion of alternative bicycle designs requires considering more than speed, and more than the UCI as a powerful actor...
December 1, 2016: Social Studies of Science
https://www.readbyqxmd.com/read/27959898/diastolic-left-ventricular-function-in-relation-to-urinary-and-serum-collagen-biomarkers-in-a-general-population
#15
Zhen-Yu Zhang, Susana Ravassa, Wen-Yi Yang, Thibault Petit, Martin Pejchinovski, Petra Zürbig, Begoña López, Fang-Fei Wei, Claudia Pontillo, Lutgarde Thijs, Lotte Jacobs, Arantxa González, Thomas Koeck, Christian Delles, Jens-Uwe Voigt, Peter Verhamme, Tatiana Kuznetsova, Javier Díez, Harald Mischak, Jan A Staessen
Current knowledge on the pathogenesis of diastolic heart failure predominantly rests on case-control studies involving symptomatic patients with preserved ejection fraction and relying on invasive diagnostic procedures including endomyocardial biopsy. Our objective was to gain insight in serum and urinary biomarkers reflecting collagen turnover and associated with asymptomatic diastolic LV dysfunction. We randomly recruited 782 Flemish (51.3% women; 50.5 years). We assessed diastolic LV function from the early and late diastolic peak velocities of the transmitral blood flow and of the mitral annulus...
2016: PloS One
https://www.readbyqxmd.com/read/27955983/what-predicts-performance-a-multicenter-study-examining-the-association-between-resident-performance-rank-list-position-and-united-states-medical-licensing-examination-step-1-scores
#16
Jonathan G Wagner, Todd Schneberk, Marissa Zobrist, H Gene Hern, Jamie Jordan, Megan Boysen-Osborn, Michael Menchine
BACKGROUND: Each application cycle, emergency medicine (EM) residency programs attempt to predict which applicants will be most successful in residency and rank them accordingly on their program's Rank Order List (ROL). OBJECTIVE: Determine if ROL position, participation in a medical student rotation at their respective program, or United States Medical Licensing Examination (USMLE) Step 1 rank within a class is predictive of residency performance. METHODS: All full-time EM faculty at Los Angeles County + University of Southern California (LAC + USC), Harbor-UCLA (Harbor), Alameda Health System-Highland (Highland), and the University of California-Irvine (UCI) ranked each resident in the classes of 2013 and 2014 at time of graduation...
March 2017: Journal of Emergency Medicine
https://www.readbyqxmd.com/read/27898387/a-novel-adaboost-framework-with-robust-threshold-and-structural-optimization
#17
Peng-Bo Zhang, Zhi-Xin Yang
The AdaBoost algorithm is a popular ensemble method that combines several weak learners to boost generalization performance. However, conventional AdaBoost.RT algorithms suffer from the limitation that the threshold value must be manually specified rather than chosen through a self-adaptive mechanism, which cannot guarantee a result in an optimal model for general cases. In this paper, we present a generic AdaBoost framework with robust threshold mechanism and structural optimization on regression problems...
November 24, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/27878219/financial-impact-of-nursing-professionals-staff-required-in-an-intensive-care-unit
#18
Thamiris Ricci de Araújo, Mayra Gonçalves Menegueti, Maria Auxiliadora-Martins, Valéria Castilho, Lucieli Dias Pedreschi Chaves, Ana Maria Laus
Objective: to calculate the cost of the average time of nursing care spent and required by patients in the Intensive Care Unit (ICU) and the financial expense for the right dimension of staff of nursing professionals. Method: a descriptive, quantitative research, using the case study method, developed in adult ICU patients. We used the workload index - Nursing Activities Score; the average care time spent and required and the amount of professionals required were calculated using equations and from these data, and from the salary composition of professionals and contractual monthly time values, calculated the cost of direct labor of nursing...
November 21, 2016: Revista Latino-americana de Enfermagem
https://www.readbyqxmd.com/read/27794146/influence-of-preadjusted-bracket-shape-and-positioning-reference-on-angulation-of-upper-central-incisor
#19
Francielle Topolski, Mauricio A de O Accorsi, Hugo J Trevisi, Osmar A Cuoghi, Ricardo Moresca
AIM: To verify the influence of different bracket shapes and placement references according to Andrews and MBT systems on the expression of angulation in upper central incisors (UCI). MATERIALS AND METHODS: Bracket positioning and mesiodistal dental movement simulations were performed and the angulations produced in the dental crown were evaluated, based on computed tomography scan images of 30 UCI and AutoCAD software analysis. Rectangular (Andrews) and rhomboid (MBT) brackets were placed according to the references recommended by Andrews and MBT systems - long axis of the clinical crown (LACC) and incisal edge (IE) respectively...
October 1, 2016: Journal of Contemporary Dental Practice
https://www.readbyqxmd.com/read/27777752/a-case-management-report-a-collaborative-perioperative-surgical-home-paradigm-and-the-reduction-of-total-joint-arthroplasty-readmissions
#20
Navid Alem, Joseph Rinehart, Brian Lee, Doug Merrill, Safa Sobhanie, Kyle Ahn, Ran Schwarzkopf, Maxime Cannesson, Zeev Kain
BACKGROUND: Efforts to mitigate costs while improving surgical care quality have received much scrutiny. This includes the challenging issue of readmission subsequent to hospital discharge. Initiatives attempting to preclude readmission after surgery require planned and unified efforts extending throughout the perioperative continuum. Patient optimization prior to discharge, enhanced disease monitoring, and seamless coordination of care between hospitals and community providers is integral to this process...
2016: Perioperative Medicine
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