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https://www.readbyqxmd.com/read/29652736/recommendations-and-extraction-of-clinical-variables-of-pediatric-multiple-sclerosis-using-common-data-elements
#1
Pamela Newland, John M Newland, Verna L Hendricks-Ferguson, Judith M Smith, Brant J Oliver
PURPOSE: The purpose of this article was to demonstrate the feasibility of using common data elements (CDEs) to search for information on the pediatric patient with multiple sclerosis (MS) and provide recommendations for future quality improvement and research in the use of CDEs for pediatric MS symptom management strategies Methods: The St. Louis Children's Hospital (SLCH), Washington University (WU) pediatrics data network was evaluated for use of CDEs identified from a database to identify variables in pediatric MS, including the key clinical features from the disease course of MS...
April 12, 2018: Journal of Neuroscience Nursing: Journal of the American Association of Neuroscience Nurses
https://www.readbyqxmd.com/read/29649602/point-of-care-and-point-of-can-leveraging-reference-laboratory-capacity-for-integrated-diagnosis-of-fever-syndromes-in-the-tropics
#2
REVIEW
Makeda Semret, Momar Ndao, Jan Jacobs, Cedric P Yansouni
BACKGROUND: There is an urgent need for integrated diagnosis of febrile syndromes, able to account for multiple pathogens and inform decisions for clinical care and public health. AIMS: To reflect on the evolving roles of laboratory-based testing for non-malarial febrile illnesses (NMFI) in low-resource settings (LRS), and to consider how advances in diagnostics, in connectivity and transport, and in quality-systems implementation may substantially enhance the capacity of reference laboratories to bridge the current gap between remote passive surveillance and clinically meaningful integrated fever diagnosis...
April 9, 2018: Clinical Microbiology and Infection
https://www.readbyqxmd.com/read/29629190/antibiotics-and-activity-spaces-protocol-of-an-exploratory-study-of-behaviour-marginalisation-and-knowledge-diffusion
#3
Marco J Haenssgen, Nutcha Charoenboon, Giacomo Zanello, Mayfong Mayxay, Felix Reed-Tsochas, Caroline O H Jones, Romyen Kosaikanont, Pollavat Praphattong, Pathompong Manohan, Yoel Lubell, Paul N Newton, Sommay Keomany, Heiman F L Wertheim, Jeffrey Lienert, Thipphaphone Xayavong, Penporn Warapikuptanun, Yuzana Khine Zaw, Patchapoom U-Thong, Patipat Benjaroon, Narinnira Sangkham, Kanokporn Wibunjak, Poowadon Chai-In, Sirirat Chailert, Patthanan Thavethanutthanawin, Krittanon Promsutt, Amphayvone Thepkhamkong, Nicksan Sithongdeng, Maipheth Keovilayvanh, Nid Khamsoukthavong, Phaengnitta Phanthasomchit, Chanthasone Phanthavong, Somsanith Boualaiseng, Souksakhone Vongsavang, Rachel C Greer, Thomas Althaus, Supalert Nedsuwan, Daranee Intralawan, Tri Wangrangsimakul, Direk Limmathurotsakul, Proochista Ariana
Background: Antimicrobial resistance (AMR) is a global health priority. Leading UK and global strategy papers to fight AMR recognise its social and behavioural dimensions, but current policy responses to improve the popular use of antimicrobials (eg, antibiotics) are limited to education and awareness-raising campaigns. In response to conceptual, methodological and empirical weaknesses of this approach, we study people's antibiotic-related health behaviour through three research questions...
2018: BMJ Global Health
https://www.readbyqxmd.com/read/29627809/antithrombotic-therapy-in-patients-receiving-saphenous-vein-coronary-artery-bypass-grafts-a-protocol-for-a-systematic-review-and-network-meta-analysis
#4
Karla Solo, Janet Martin, Shahar Lavi, Conrad Kabali, Ava John-Baptiste, Immaculate F Nevis, Tawfiq Choudhury, Mamas A Mamas, Rodrigo Bagur
INTRODUCTION: The current evidence for the prevention of saphenous vein graft failure (SVGF) after coronary artery bypass graft (CABG) surgery consists of direct head-to-head comparison of treatments (including placebo) in randomised-controlled trials (RCTs) and observational studies. However, summarising the evidence using traditional pairwise meta-analyses does not allow the inclusion of data from treatments that have not been compared head to head. Exclusion of such comparisons could impact the precision of pooled estimates in a meta-analysis...
April 7, 2018: BMJ Open
https://www.readbyqxmd.com/read/29626142/collection-and-sharing-of-medical-information-and-medical-intelligence-m2i-in-nato-a-transversal-survey
#5
Gabriel Bedubourg, H Wiik, B Queyriaux, P Lausund, J-B Meynard
INTRODUCTION: There is a requirement for adequate medical expertise to be available throughout the range of potential future operations involving members of the North Atlantic Treaty Organization (NATO). The aim of this study was to assess the collection and sharing of medical intelligence and medical information (M2I) by NATO Nations, Partner Nations and NATO Command Structure and NATO Force Structure Headquarters (NCS/NFS HQs). MATERIALS AND METHODS: A transversal survey was conducted between December 2014 and March 2015 using a survey form on M2I sent to NATO Nations and Partnership for Peace (PfP) Nations as well as NCS/NFS HQs...
April 6, 2018: Journal of the Royal Army Medical Corps
https://www.readbyqxmd.com/read/29624799/a-checklist-for-managed-access-programmes-for-reimbursement-co-designed-by-canadian-patients-and-caregivers
#6
Andrea Young, Devidas Menon, Jackie Street, Walla Al-Hertani, Tania Stafinski
INTRODUCTION: Reimbursement decisions on orphan drugs carry significant uncertainty, and as the amount increases, so does the risk of making a wrong decision, where harms outweigh benefits. Consequently, patients often face limited access to orphan drugs. Managed access programmes (MAPs) are a mechanism for managing risk while enabling access to potentially beneficial drugs. Patients and their caregivers have expressed support for these programmes and see patient input as critical to successful implementation...
April 6, 2018: Health Expectations: An International Journal of Public Participation in Health Care and Health Policy
https://www.readbyqxmd.com/read/29624139/knowledge-exchange-in-the-uk-clahrcs
#7
Girts Racko
Purpose The purpose of this paper is to examine how knowledge exchange between academics and clinicians in Collaborations for Leadership in Applied Health Research and Care (CLAHRCs) is influenced by their social position based on their symbolic and social capitals, that is, their personal professional status and connections to high-status professional peers, knowledge brokers, and unfamiliar professional peers. Design/methodology/approach Using an online survey, the author triangulates the cross-sectional measurement of the effects of academic and clinicians' social position in the initial and later phases of CLAHRCs with the longitudinal measurement of these effects over a two-year period...
April 9, 2018: Journal of Health Organization and Management
https://www.readbyqxmd.com/read/29623640/mixed-strategy-to-allocate-resources-with-air-pollution-treatment-in-china-based-on-the-analytic-network-process-and-large-group-decision-making-method
#8
Xi Chen, Liu Zhao, Mujgan Sagir Özdemir, Haiming Liang
The resource allocation of air pollution treatment in China is a complex problem, since many alternatives are available and many criteria influence mutually. A number of stakeholders participate in this issue holding different opinions because of the benefits they value. So a method is needed, based on the analytic network process (ANP) and large-group decision-making (LGDM), to rank the alternatives considering interdependent criteria and stakeholders' opinions. In this method, the criteria related to air pollution treatment are examined by experts...
April 5, 2018: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/29623248/holistic-classification-of-ct-attenuation-patterns-for-interstitial-lung-diseases-via-deep-convolutional-neural-networks
#9
Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z Papadakis, Adrien Depeursinge, Ronald M Summers, Ziyue Xu, Daniel J Mollura
Interstitial lung diseases (ILD) involve several abnormal imaging patterns observed in computed tomography (CT) images. Accurate classification of these patterns plays a significant role in precise clinical decision making of the extent and nature of the diseases. Therefore, it is important for developing automated pulmonary computer-aided detection systems. Conventionally, this task relies on experts' manual identification of regions of interest (ROIs) as a prerequisite to diagnose potential diseases. This protocol is time consuming and inhibits fully automatic assessment...
2018: Computer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization
https://www.readbyqxmd.com/read/29622295/similarity-network-fusion-a-novel-application-to-making-clinical-diagnoses
#10
REVIEW
Andréanne N Zizzo, Lauren Erdman, Brian M Feldman, Anna Goldenberg
Similarity Network Fusion (SNF) is a novel methodological tool that integrates multiple different types of data to identify homogeneous subsets of patients in whom disease classification may be otherwise unclear or challenging. In this review article, the authors hope to provide insight into how SNF can be used in clinical decision making where the aim is to have little influence on the data prior to obtaining the results of the analysis.
May 2018: Rheumatic Diseases Clinics of North America
https://www.readbyqxmd.com/read/29620009/the-link-between-structural-connectivity-and-neurocognition-illustrated-by-focal-epilepsy
#11
Elise Roger, Laurent Petit, Marcela Perrone-Bertolotti, Anne-Sophie Job, Lorella Minotti, Philippe Kahane, Monica Baciu
Increasing attention is being paid to the assessment of white matter properties and its structural connectivity, both in healthy subjects and patients with cerebral lesions. Within this framework, new neurocognitive models based on hodological properties have been developed under a connectomic perspective in order to explain substrates and cognitive mechanisms related to cerebral functions such as language and memory. With regards to focal and drug-resistant epilepsy conceived as a network disorder, new insights in terms of structural connectivity have led to significant advances in epilepsy research, concerning fundamental research (neurocognitive mechanisms of plasticity) and clinical application (optimization of decision making for curative surgery)...
April 5, 2018: Epileptic Disorders: International Epilepsy Journal with Videotape
https://www.readbyqxmd.com/read/29619408/common-sense-in-choice-the-effect-of-sensory-modality-on-neural-value-representations
#12
Anastasia Shuster, Dino J Levy
Although it is well established that the ventromedial prefrontal cortex (vmPFC) represents value using a common currency across categories of rewards, it is unknown whether the vmPFC represents value irrespective of the sensory modality in which alternatives are presented. In the current study, male and female human subjects completed a decision-making task while their neural activity was recorded using functional magnetic resonance imaging. On each trial, subjects chose between a safe alternative and a lottery, which was presented visually or aurally...
March 2018: ENeuro
https://www.readbyqxmd.com/read/29616472/risk-seeking-for-losses-modulates-the-functional-connectivity-of-the-default-mode-and-left-frontoparietal-networks-in-young-males
#13
Yacila I Deza Araujo, Stephan Nebe, Philipp T Neukam, Shakoor Pooseh, Miriam Sebold, Maria Garbusow, Andreas Heinz, Michael N Smolka
Value-based decision making (VBDM) is a principle that states that humans and other species adapt their behavior according to the dynamic subjective values of the chosen or unchosen options. The neural bases of this process have been extensively investigated using task-based fMRI and lesion studies. However, the growing field of resting-state functional connectivity (RSFC) may shed light on the organization and function of brain connections across different decision-making domains. With this aim, we used independent component analysis to study the brain network dynamics in a large cohort of young males (N = 145) and the relationship of these dynamics with VBDM...
April 3, 2018: Cognitive, Affective & Behavioral Neuroscience
https://www.readbyqxmd.com/read/29615897/adenosine-a-2a-receptors-control-glutamatergic-synaptic-plasticity-in-fast-spiking-interneurons-of-the-prefrontal-cortex
#14
Amber Kerkhofs, Paula M Canas, A J Timmerman, Tim S Heistek, Joana I Real, Carolina Xavier, Rodrigo A Cunha, Huibert D Mansvelder, Samira G Ferreira
Adenosine A2A receptors (A2A R) are activated upon increased synaptic activity to assist in the implementation of long-term plastic changes at synapses. While it is reported that A2A R are involved in the control of prefrontal cortex (PFC)-dependent behavior such as working memory, reversal learning and effort-based decision making, it is not known whether A2A R control glutamatergic synapse plasticity within the medial PFC (mPFC). To elucidate that, we tested whether A2A R blockade affects long-term plasticity (LTP) of excitatory post-synaptic potentials in pyramidal neurons and fast spiking (FS) interneurons in layer 5 of the mPFC and of population spikes...
2018: Frontiers in Pharmacology
https://www.readbyqxmd.com/read/29614794/mobile-sinks-assisted-geographic-and-opportunistic-routing-based-interference-avoidance-for-underwater-wireless-sensor-network
#15
Farwa Ahmed, Zahid Wadud, Nadeem Javaid, Nabil Alrajeh, Mohamad Souheil Alabed, Umar Qasim
The distinctive features of acoustic communication channel-like high propagation delay, multi-path fading, quick attenuation of acoustic signal, etc. limit the utilization of underwater wireless sensor networks (UWSNs). The immutable selection of forwarder node leads to dramatic death of node resulting in imbalanced energy depletion and void hole creation. To reduce the probability of void occurrence and imbalance energy dissipation, in this paper, we propose mobility assisted geo-opportunistic routing paradigm based on interference avoidance for UWSNs...
April 2, 2018: Sensors
https://www.readbyqxmd.com/read/29613769/protein-protein-interactions-in-the-molecular-chaperone-network
#16
Rebecca Freilich, Taylor Arhar, Jennifer L Abrams, Jason E Gestwicki
Molecular chaperones play a central role in protein homeostasis (a.k.a. proteostasis) by balancing protein folding, quality control, and turnover. To perform these diverse tasks, chaperones need the malleability to bind nearly any "client" protein and the fidelity to detect when it is misfolded. Remarkably, these activities are carried out by only ∼180 dedicated chaperones in humans. How do a relatively small number of chaperones maintain cellular and organismal proteostasis for an entire proteome? Furthermore, once a chaperone binds a client, how does it "decide" what to do with it? One clue comes from observations that individual chaperones engage in protein-protein interactions (PPIs)-both with each other and with their clients...
April 3, 2018: Accounts of Chemical Research
https://www.readbyqxmd.com/read/29609811/the-effect-of-feature-selection-on-multivariate-pattern-analysis-of-structural-brain-mr-images
#17
Ayşe Demirhan
Clinical predictions performed using structural magnetic resonance (MR) images are crucial in neuroimaging studies and can be used as a successful complementary method for clinical decision making. Multivariate pattern analysis (MVPA) is a significant tool that helps correct predictions by exhibiting a compound relationship between disease-related features. In this study, the effectiveness of determining the most relevant features for MVPA of the brain MR images are examined using ReliefF and minimum Redundancy Maximum Relevance (mRMR) algorithms to predict the Alzheimer's disease (AD), schizophrenia, autism, and attention deficit and hyperactivity disorder (ADHD)...
March 2018: Physica Medica: PM
https://www.readbyqxmd.com/read/29608586/dengue-forecasting-in-s%C3%A3-o-paulo-city-with-generalized-additive-models-artificial-neural-networks-and-seasonal-autoregressive-integrated-moving-average-models
#18
Oswaldo Santos Baquero, Lidia Maria Reis Santana, Francisco Chiaravalloti-Neto
Globally, the number of dengue cases has been on the increase since 1990 and this trend has also been found in Brazil and its most populated city-São Paulo. Surveillance systems based on predictions allow for timely decision making processes, and in turn, timely and efficient interventions to reduce the burden of the disease. We conducted a comparative study of dengue predictions in São Paulo city to test the performance of trained seasonal autoregressive integrated moving average models, generalized additive models and artificial neural networks...
2018: PloS One
https://www.readbyqxmd.com/read/29606961/a-pruning-neural-network-model-in-credit-classification-analysis
#19
Yajiao Tang, Junkai Ji, Shangce Gao, Hongwei Dai, Yang Yu, Yuki Todo
Nowadays, credit classification models are widely applied because they can help financial decision-makers to handle credit classification issues. Among them, artificial neural networks (ANNs) have been widely accepted as the convincing methods in the credit industry. In this paper, we propose a pruning neural network (PNN) and apply it to solve credit classification problem by adopting the well-known Australian and Japanese credit datasets. The model is inspired by synaptic nonlinearity of a dendritic tree in a biological neural model...
2018: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/29604791/a-postprocessing-method-in-the-hmc-framework-for-predicting-gene-function-based-on-biological-instrumental-data
#20
Shou Feng, Ping Fu, Wenbin Zheng
Predicting gene function based on biological instrumental data is a complicated and challenging hierarchical multi-label classification (HMC) problem. When using local approach methods to solve this problem, a preliminary results processing method is usually needed. This paper proposed a novel preliminary results processing method called the nodes interaction method. The nodes interaction method revises the preliminary results and guarantees that the predictions are consistent with the hierarchy constraint...
March 2018: Review of Scientific Instruments
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