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https://www.readbyqxmd.com/read/28725882/group-based-active-learning-of-classification-models
#1
Zhipeng Luo, Milos Hauskrecht
Learning of classification models from real-world data often requires additional human expert effort to annotate the data. However, this process can be rather costly and finding ways of reducing the human annotation effort is critical for this task. The objective of this paper is to develop and study new ways of providing human feedback for efficient learning of classification models by labeling groups of examples. Briefly, unlike traditional active learning methods that seek feedback on individual examples, we develop a new group-based active learning framework that solicits label information on groups of multiple examples...
May 2017: Proceedings of the ... International Florida AI Research Society Conference
https://www.readbyqxmd.com/read/28717700/prostate-cancer-burden-at-the-uganda-cancer-institute
#2
Fred Okuku, Jackson Orem, George Holoya, Chris De Boer, Cheryl L Thompson, Matthew M Cooney
PURPOSE: In Uganda, the incidence of prostate cancer is increasing at a rate of 5.2% annually. Data describing presentation and outcomes for patients with prostate cancer are lacking. METHODS: A retrospective review of medical records for men with histologically confirmed prostate cancer at the Uganda Cancer Institute (UCI) from January 1 to December 17, 2012, was performed. RESULTS: Our sample included 182 men whose mean age was 69.5 years (standard deviation, 9...
August 2016: Journal of Global Oncology
https://www.readbyqxmd.com/read/28706750/a-reduced-set-of-features-for-chronic-kidney-disease-prediction
#3
Rajesh Misir, Malay Mitra, Ranjit Kumar Samanta
Chronic kidney disease (CKD) is one of the life-threatening diseases. Early detection and proper management are solicited for augmenting survivability. As per the UCI data set, there are 24 attributes for predicting CKD or non-CKD. At least there are 16 attributes need pathological investigations involving more resources, money, time, and uncertainties. The objective of this work is to explore whether we can predict CKD or non-CKD with reasonable accuracy using less number of features. An intelligent system development approach has been used in this study...
2017: Journal of Pathology Informatics
https://www.readbyqxmd.com/read/28678719/robust-and-efficient-boosting-method-using-the-conditional-risk
#4
Zhi Xiao, Zhe Luo, Bo Zhong, Xin Dang
Well known for its simplicity and effectiveness in classification, AdaBoost, however, suffers from overfitting when class-conditional distributions have significant overlap. Moreover, it is very sensitive to noise that appears in the labels. This paper tackles the above limitations simultaneously via optimizing a modified loss function (i.e., the conditional risk). The proposed approach has the following two advantages. First, it is able to directly take into account label uncertainty with an associated label confidence...
June 28, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28677943/achieving-grand-tour-success-a-pilot-study-using-cycling-s-world-tour-points
#5
Luca Filipas, Antonio LA Torre, Paolo Menaspà, Hedda Giorgi
BACKGROUND: In cycling, the Union Cycliste International (UCI) World Tour points system provides a basis to assess the development of riders by longitudinally monitoring accumulated points. The main aim of the present analysis was to compare the annual aggregation of points of Grand Tours (GT) contenders during the years before and the year after achieving an overall top-ten (T10) placing in a GT for the first time. METHODS: Data from professional cyclists who achieved their first T10 GC result in a GT between 2010 and 2015, inclusive, were included in the analysis...
July 5, 2017: Journal of Sports Medicine and Physical Fitness
https://www.readbyqxmd.com/read/28672757/hypercoiling-of-the-umbilical-cord-in-uncomplicated-singleton-pregnancies
#6
Marwan Ma'ayeh, Evan McClennen, Dmitri Chamchad, Michael Geary, Norman Brest, Andrew Gerson
BACKGROUND: The umbilical coiling index (UCI) is a measure of the number of coils in the umbilical cord in relation to its length. Hypercoiled cords with a UCI of >0.3 coils/cm have been associated with adverse fetal and neonatal outcomes. AIMS: The primary aim is to determine the accuracy of UCI measured on second trimester ultrasound in predicting UCI at birth. The secondary outcome is to investigate the association between hypercoiling of the umbilical cord on prenatal ultrasound and adverse maternal, fetal and neonatal outcomes...
June 26, 2017: Journal of Perinatal Medicine
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
#7
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
#8
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
#9
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
#10
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)...
2017: American Journal of Nephrology
https://www.readbyqxmd.com/read/28562746/perioperative-fasting-time-among-cancer-patients-submitted-to-gastrointestinal-surgeries
#11
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
#12
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
#13
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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