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https://www.readbyqxmd.com/read/28634344/omniga-optimized-omnivariate-decision-trees-for-generalizable-classification-models
#1
Arturo Magana-Mora, Vladimir B Bajic
Classification problems from different domains vary in complexity, size, and imbalance of the number of samples from different classes. Although several classification models have been proposed, selecting the right model and parameters for a given classification task to achieve good performance is not trivial. Therefore, there is a constant interest in developing novel robust and efficient models suitable for a great variety of data. Here, we propose OmniGA, a framework for the optimization of omnivariate decision trees based on a parallel genetic algorithm, coupled with deep learning structure and ensemble learning methods...
June 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28632760/the-development-of-acquired-equivalence-from-childhood-to-adulthood-a-cross-sectional-study-of-265-subjects
#2
Gábor Braunitzer, Attila Őze, Gabriella Eördegh, Anna Pihokker, Petra Rózsa, László Kasik, Szabolcs Kéri, Attila Nagy
Acquired equivalence (AE) is a form of feedback-based associative learning where the subject learns that two or more stimuli are equivalent in terms of being mapped onto the same outcomes or responses. While several studies dealt with how various neurological and psychiatric conditions affect performance on AE tasks (typically with small populations), studies dealing with AE in healthy subjects are rare, and no study has ever made an attempt to plot the development of this form of learning from the childhood through adulthood...
2017: PloS One
https://www.readbyqxmd.com/read/28632043/simultanagnosia-and-object-individuation
#3
Veronica Mazza
Simultanagnosic patients have difficulty in perceiving multiple objects when presented simultaneously. In this review article, I discuss how neuropsychological research on simultanagnosia has been inspirational for two interconnected lines of research related to the core mechanisms by which the visual system processes cluttered scenes. First, I review previous studies on enumeration tasks indicating that, despite their inability to identify multiple objects, simultanagnosic patients can enumerate up to 2-3 elements as efficiently as healthy individuals (the so-called "subitizing" phenomenon)...
June 6, 2017: Cognitive Neuropsychology
https://www.readbyqxmd.com/read/28631139/a-systematic-review-of-wearable-patient-monitoring-systems-current-challenges-and-opportunities-for-clinical-adoption
#4
Mirza Mansoor Baig, Hamid GholamHosseini, Aasia A Moqeem, Farhaan Mirza, Maria Lindén
The aim of this review is to investigate barriers and challenges of wearable patient monitoring (WPM) solutions adopted by clinicians in acute, as well as in community, care settings. Currently, healthcare providers are coping with ever-growing healthcare challenges including an ageing population, chronic diseases, the cost of hospitalization, and the risk of medical errors. WPM systems are a potential solution for addressing some of these challenges by enabling advanced sensors, wearable technology, and secure and effective communication platforms between the clinicians and patients...
July 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28631015/ask-yeast-how-to-burn-your-fats-lessons-learned-from-the-metabolic-adaptation-to-salt-stress
#5
REVIEW
Amparo Pascual-Ahuir, Sara Manzanares-Estreder, Alba Timón-Gómez, Markus Proft
Here, we review and update the recent advances in the metabolic control during the adaptive response of budding yeast to hyperosmotic and salt stress, which is one of the best understood signaling events at the molecular level. This environmental stress can be easily applied and hence has been exploited in the past to generate an impressively detailed and comprehensive model of cellular adaptation. It is clear now that this stress modulates a great number of different physiological functions of the cell, which altogether contribute to cellular survival and adaptation...
June 19, 2017: Current Genetics
https://www.readbyqxmd.com/read/28629202/a-novel-extreme-learning-machine-classification-model-for-e-nose-application-based-on-the-multiple-kernel-approach
#6
Yulin Jian, Daoyu Huang, Jia Yan, Kun Lu, Ying Huang, Tailai Wen, Tanyue Zeng, Shijie Zhong, Qilong Xie
A novel classification model, named the quantum-behaved particle swarm optimization (QPSO)-based weighted multiple kernel extreme learning machine (QWMK-ELM), is proposed in this paper. Experimental validation is carried out with two different electronic nose (e-nose) datasets. Being different from the existing multiple kernel extreme learning machine (MK-ELM) algorithms, the combination coefficients of base kernels are regarded as external parameters of single-hidden layer feedforward neural networks (SLFNs)...
June 19, 2017: Sensors
https://www.readbyqxmd.com/read/28628932/-european-collaboration-in-medical-device-assessment-one-step-towards-cross-border-health-care
#7
Julia Mayer, Sabine Ettinger, Anna Nachtnebel
Aim The aim of this paper was to present the legal framework as well as previous experience in transnational collaboration regarding the assessment of medical devices for reimbursement decisions. Furthermore, the possible benefit of transnational collaboration for various stakeholders will be discussed. Methods Experiences gathered with the compilation of overall 6 joint rapid assessments of medical devices within the completed European Network for Health Technology Assessment (EUnetHTA) Joint Action 2 (JA2) are summarised and discussed...
June 19, 2017: Das Gesundheitswesen
https://www.readbyqxmd.com/read/28628829/ectromelia-virus-accumulates-less-double-stranded-rna-compared-to-vaccinia-virus-in-bs-c-1-cells
#8
Tiffany R Frey, Michael H Lehmann, Colton M Ryan, Marie C Pizzorno, Gerd Sutter, Adam R Hersperger
Most orthopoxviruses, including vaccinia virus (VACV), contain genes in the E3L and K3L families. The protein products of these genes have been shown to combat PKR, a host defense pathway. Interestingly, ectromelia virus (ECTV) contains an E3L ortholog but does not possess an intact K3L gene. Here, we gained insight into how ECTV can still efficiently evade PKR despite lacking K3L. Relative to VACV, we found that ECTV-infected BS-C-1 cells accumulated considerably less double-stranded (ds) RNA, which was due to lower mRNA levels and less transcriptional read-through of some genes by ECTV...
June 16, 2017: Virology
https://www.readbyqxmd.com/read/28628322/applying-mondrian-cross-conformal-prediction-to-estimate-prediction-confidence-on-large-imbalanced-bioactivity-datasets
#9
Jiangming Sun, Lars Carlsson, Ernst Ahlberg, Ulf Norinder, Ola Engkvist, Hongming Chen
Conformal prediction has been proposed as a more rigorous way to define prediction confidence compared to other application domain concepts that have earlier been used for QSAR modelling. One main advantage of such a method is that it provides a prediction region potentially with multiple predicted labels, which contrasts to the single valued (regression) or single label (classification) output predictions by standard QSAR modelling algorithms. Standard conformal prediction might not be suitable for imbalanced datasets...
June 19, 2017: Journal of Chemical Information and Modeling
https://www.readbyqxmd.com/read/28627406/multi-omics-facilitated-variable-selection-in-cox-regression-model-for-cancer-prognosis-prediction
#10
Cong Liu, Xujun Wang, Georgi Z Genchev, Hui Lu
Motivation New developments in high-throughput genomic technologies have enabled the measurement of diverse types of omics biomarkers in a cost-efficient and clinically-feasible manner. Developing computational methods and tools for analysis and translation of such genomic data into clinically-relevant information is an ongoing and active area of investigation. For example, several studies have utilized an unsupervised learning framework to cluster patients by integrating omics data. Despite such recent advances, predicting cancer prognosis using integrated omics biomarkers remains a challenge...
June 13, 2017: Methods: a Companion to Methods in Enzymology
https://www.readbyqxmd.com/read/28624626/alternative-polyadenylation-patterns-for-novel-gene-discovery-and-classification-in-cancer
#11
Oguzhan Begik, Merve Oyken, Tuna Cinkilli Alican, Tolga Can, Ayse Elif Erson-Bensan
Certain aspects of diagnosis, prognosis, and treatment of cancer patients are still important challenges to be addressed. Therefore, we propose a pipeline to uncover patterns of alternative polyadenylation (APA), a hidden complexity in cancer transcriptomes, to further accelerate efforts to discover novel cancer genes and pathways. Here, we analyzed expression data for 1045 cancer patients and found a significant shift in usage of poly(A) signals in common tumor types (breast, colon, lung, prostate, gastric, and ovarian) compared to normal tissues...
June 15, 2017: Neoplasia: An International Journal for Oncology Research
https://www.readbyqxmd.com/read/28622667/netvlad-cnn-architecture-for-weakly-supervised-place-recognition
#12
Relja Arandjelovic, Petr Gronat, Akihiko Torii, Tomas Pajdla, Josef Sivic
We tackle the problem of large scale visual place recognition, where the task is to quickly and accurately recognize the location of a given query photograph. We present the following four principal contributions. First, we develop a convolutional neural network (CNN) architecture that is trainable in an end-to-end manner directly for the place recognition task. The main component of this architecture, NetVLAD, is a new generalized VLAD layer, inspired by the "Vector of Locally Aggregated Descriptors" image representation commonly used in image retrieval...
June 1, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28620982/novice-students-navigating-the-clinical-environment-in-an-early-medical-clerkship
#13
Jenny Barrett, Steve C Trumble, Geoff McColl
CONTEXT: The black box that is student learning in clinical environments is an ongoing research project. Our previous research showed that despite the time that students are given to learn with, about and from patients, some lack confidence for those encounters and see few patients. The study reported here investigated individual and environmental factors affecting medical students' self-directed learning time in hospital. METHODS: We studied second year students in the four-year postgraduate Melbourne Medical School programme as they undertook the first of their four 9-week hospital placements in medical wards...
June 16, 2017: Medical Education
https://www.readbyqxmd.com/read/28619654/representational-precision-in-visual-cortex-reveals-outcome-encoding-and-reward-modulation-during-action-preparation
#14
Henk van Steenbergen, Christopher M Warren, Simone Kühn, Sanne de Wit, Reinout W Wiers, Bernhard Hommel
According to ideomotor theory, goal-directed action involves the active perceptual anticipation of actions and their associated effects. We used multivariate analysis of fMRI data to test if preparation of an action promotes precision in the perceptual representation of the action. In addition, we tested how reward magnitude modulates this effect. Finally, we examined how expectation and uncertainty impact neural precision in the motor cortex. In line with our predictions, preparation of a hand or face action increased the precision of neural activation patterns in the extrastriate body area (EBA) and fusiform face area (FFA), respectively...
June 12, 2017: NeuroImage
https://www.readbyqxmd.com/read/28619649/the-school-inner-city-asthma-intervention-study-design-rationale-methods-and-lessons-learned
#15
Wanda Phipatanakul, Petros Koutrakis, Brent A Coull, Choong-Min Kang, Jack M Wolfson, Stephen T Ferguson, Carter R Petty, Mihail Samnaliev, Amparito Cunningham, William J Sheehan, Jonathan M Gaffin, Sachin N Baxi, Peggy S Lai, Perdita Permaul, Liming Liang, Peter S Thorne, Gary Adamkiewicz, Kasey J Brennan, Andrea A Baccarelli, Diane R Gold
Asthma is the most common chronic disease of childhood in the United States, causes significant morbidity, particularly in the inner-city, and accounts for billions of dollars in health care utilization. Home environments are established sources of exposure that exacerbate symptoms and home-based interventions are effective. However, elementary school children spend 7 to 12h a day in school, primarily in one classroom. From the observational School Inner-City Asthma Study we learned that student classroom-specific exposures are associated with worsening asthma symptoms and decline in lung function...
June 12, 2017: Contemporary Clinical Trials
https://www.readbyqxmd.com/read/28619618/nmr-in-drug-design
#16
Mary J Harner, Luciano Mueller, Kevin J Robbins, Michael D Reily
The use of NMR as a tool to determine 3 dimensional protein solution structures, once a darling of the pharmaceutical industry, has largely given way to study of the interaction of prospective drugs with macromolecular targets. Many of these approaches involve ligand-centered studies, which have the advantage of speed and efficiency, but there are also many approaches that take directly from our learnings in macromolecular NMR and provide greater structural detail yet are still optimized for rapid turn-around of information...
June 12, 2017: Archives of Biochemistry and Biophysics
https://www.readbyqxmd.com/read/28617014/real-world-program-evaluation-of-integrated-behavioral-health-care-improving-scientific-rigor
#17
Jennifer S Funderburk, Robyn L Shepardson
INTRODUCTION: Designing systematic, scientifically rigorous program evaluations (PE) is 1 way to contribute to the significant need to build best practices and a stronger evidence base for integrated behavioral health care. However, there are many potential pitfalls when conducting PE in real-world settings, and many clinicians and administrators may be hesitant to engage in PE due to lack of training or resources. Rigorous PE can be achieved feasibly and efficiently. METHOD: This article discusses common challenges that arise when conducting PE in integrated behavioral health care settings and illustrates ways to increase the methodological quality of PE efforts using lessons learned from 2 real-world case examples...
June 2017: Families, Systems & Health: the Journal of Collaborative Family Healthcare
https://www.readbyqxmd.com/read/28614637/renal-telemedicine-through-video-as-a-service-delivered-to-patients-on-home-dialysis-a-qualitative-study-on-the-renal-care-team-members-experience
#18
Jae-Llane Ditchburn, Alison Marshall
BACKGROUND: The Lancashire Teaching Hospitals NHS Trust in the UK has been providing renal care through video-as-a-service (VAAS) to patients since 2013, with support from the North West NHS Shared Infrastructure Service, a collaborative team that supports information and communication technology use in the UK National Health Service. INTRODUCTION: Renal telemedicine offered remotely to patients on home dialysis supports renal care through the provision of a live high-quality video link directly to unsupported patients undergoing haemodialysis at home...
June 14, 2017: Journal of Renal Care
https://www.readbyqxmd.com/read/28613953/correlates-of-verbal-learning-and-memory-after-pediatric-traumatic-brain-injury
#19
Velisa M Johnson, Jacobus Donders
This study examined the role of injury-related variables, socioeconomic disadvantage, and preexisting conditions on verbal learning and memory in a sample of children with traumatic brain injury (TBI). We also explored the mediating effect of processing speed and working memory. One hundred children aged 7-16 years (M = 13.46, SD = 2.78) completed a neuropsychological assessment between 1-12 months post injury. Hierarchical multiple regression analyses were conducted on domains comprising the four-factor model of the California Verbal Learning Test-Children's Version (CVLT-C)...
June 14, 2017: Applied Neuropsychology. Child
https://www.readbyqxmd.com/read/28613390/autoihc-scoring-a-machine-learning-framework-for-automated-allred-scoring-of-molecular-expression-in-er-and-pr-stained-breast-cancer-tissue
#20
S Tewary, I Arun, R Ahmed, S Chatterjee, C Chakraborty
In prognostic evaluation of breast cancer Immunohistochemical (IHC) markers namely, oestrogen receptor (ER) and progesterone receptor (PR) are widely used. The expert pathologist investigates qualitatively the stained tissue slide under microscope to provide the Allred score; which is clinically used for therapeutic decision making. Such qualitative judgment is time-consuming, tedious and more often suffers from interobserver variability. As a result, it leads to imprecise IHC score for ER and PR. To overcome this, there is an urgent need of developing a reliable and efficient IHC quantifier for high throughput decision making...
June 14, 2017: Journal of Microscopy
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