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collaborative filtering

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https://www.readbyqxmd.com/read/27931207/a-comparative-study-classification-vs-user-based-collaborative-filtering-for-clinical-prediction
#1
Fang Hao, Rachael Hageman Blair
BACKGROUND: Recommender systems have shown tremendous value for the prediction of personalized item recommendations for individuals in a variety of settings (e.g., marketing, e-commerce, etc.). User-based collaborative filtering is a popular recommender system, which leverages an individuals' prior satisfaction with items, as well as the satisfaction of individuals that are "similar". Recently, there have been applications of collaborative filtering based recommender systems for clinical risk prediction...
December 8, 2016: BMC Medical Research Methodology
https://www.readbyqxmd.com/read/27919275/rayyan-a-web-and-mobile-app-for-systematic-reviews
#2
Mourad Ouzzani, Hossam Hammady, Zbys Fedorowicz, Ahmed Elmagarmid
BACKGROUND: Synthesis of multiple randomized controlled trials (RCTs) in a systematic review can summarize the effects of individual outcomes and provide numerical answers about the effectiveness of interventions. Filtering of searches is time consuming, and no single method fulfills the principal requirements of speed with accuracy. Automation of systematic reviews is driven by a necessity to expedite the availability of current best evidence for policy and clinical decision-making. We developed Rayyan ( http://rayyan...
December 5, 2016: Systematic Reviews
https://www.readbyqxmd.com/read/27911773/accurate-and-scalable-social-recommendation-using-mixed-membership-stochastic-block-models
#3
Antonia Godoy-Lorite, Roger Guimerà, Cristopher Moore, Marta Sales-Pardo
With increasing amounts of information available, modeling and predicting user preferences-for books or articles, for example-are becoming more important. We present a collaborative filtering model, with an associated scalable algorithm, that makes accurate predictions of users' ratings. Like previous approaches, we assume that there are groups of users and of items and that the rating a user gives an item is determined by their respective group memberships. However, we allow each user and each item to belong simultaneously to mixtures of different groups and, unlike many popular approaches such as matrix factorization, we do not assume that users in each group prefer a single group of items...
November 23, 2016: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/27899677/the-mouse-gene-expression-database-gxd-2017-update
#4
Jacqueline H Finger, Constance M Smith, Terry F Hayamizu, Ingeborg J McCright, Jingxia Xu, Meiyee Law, David R Shaw, Richard M Baldarelli, Jon S Beal, Olin Blodgett, Jeff W Campbell, Lori E Corbani, Jill R Lewis, Kim L Forthofer, Pete J Frost, Sharon C Giannatto, Lucie N Hutchins, Dave B Miers, Howie Motenko, Kevin R Stone, Janan T Eppig, James A Kadin, Joel E Richardson, Martin Ringwald
The Gene Expression Database (GXD; www.informatics.jax.org/expression.shtml) is an extensive and well-curated community resource of mouse developmental expression information. Through curation of the scientific literature and by collaborations with large-scale expression projects, GXD collects and integrates data from RNA in situ hybridization, immunohistochemistry, RT-PCR, northern blot and western blot experiments. Expression data from both wild-type and mutant mice are included. The expression data are combined with genetic and phenotypic data in Mouse Genome Informatics (MGI) and made readily accessible to many types of database searches...
November 28, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27898691/a-personalized-electronic-movie-recommendation-system-based-on-support-vector-machine-and-improved-particle-swarm-optimization
#5
Xibin Wang, Fengji Luo, Ying Qian, Gianluca Ranzi
With the rapid development of ICT and Web technologies, a large an amount of information is becoming available and this is producing, in some instances, a condition of information overload. Under these conditions, it is difficult for a person to locate and access useful information for making decisions. To address this problem, there are information filtering systems, such as the personalized recommendation system (PRS) considered in this paper, that assist a person in identifying possible products or services of interest based on his/her preferences...
2016: PloS One
https://www.readbyqxmd.com/read/27870023/hierarchical-filters-determine-community-assembly-of-urban-species-pools
#6
Myla F J Aronson, Charles H Nilon, Christopher A Lepczyk, Tommy S Parker, Paige S Warren, Sarel S Cilliers, Mark A Goddard, Amy K Hahs, Cecilia Herzog, Madhusudan Katti, Frank A La Sorte, Nicholas S G Williams, Wayne Zipperer
The majority of humanity now lives in cities or towns, with this proportion expected to continue increasing for the foreseeable future. As novel ecosystems, urban areas offer an ideal opportunity to examine multi-scalar processes involved in community assembly as well as the role of human activities in modulating environmental drivers of biodiversity. Although ecologists have made great strides in recent decades at documenting ecological relationships in urban areas, much remains unknown, and we still need to identify the major ecological factors, aside from habitat loss, behind the persistence or extinction of species and guilds of species in cities...
November 2016: Ecology
https://www.readbyqxmd.com/read/27775535/gseh-a-novel-approach-to-select-prostate-cancer-associated-genes-using-gene-expression-heterogeneity
#7
Hyunjin Kim, Sang-Min Choi, Sanghyun Park
When a gene shows varying levels of expression among normal people but similar levels in disease patients or shows similar levels of expression among normal people but different levels in disease patients, we can assume that the gene is associated with the disease. By utilizing this gene expression heterogeneity, we can obtain additional information that abets discovery of disease-associated genes. In this study, we used collaborative filtering to calculate the degree of gene expression heterogeneity between classes and then scored the genes on the basis of the degree of gene expression heterogeneity to find "differentially predicted" genes...
October 19, 2016: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/27754456/an-efficient-recommendation-filter-model-on-smart-home-big-data-analytics-for-enhanced-living-environments
#8
Hao Chen, Xiaoyun Xie, Wanneng Shu, Naixue Xiong
With the rapid growth of wireless sensor applications, the user interfaces and configurations of smart homes have become so complicated and inflexible that users usually have to spend a great amount of time studying them and adapting to their expected operation. In order to improve user experience, a weighted hybrid recommender system based on a Kalman Filter model is proposed to predict what users might want to do next, especially when users are located in a smart home with an enhanced living environment. Specifically, a weight hybridization method was introduced, which combines contextual collaborative filter and the contextual content-based recommendations...
October 15, 2016: Sensors
https://www.readbyqxmd.com/read/27727177/adaptive-collaborative-gaussian-mixture-probability-hypothesis-density-filter-for-multi-target-tracking
#9
Feng Yang, Yongqi Wang, Hao Chen, Pengyan Zhang, Yan Liang
In this paper, an adaptive collaborative Gaussian Mixture Probability Hypothesis Density (ACo-GMPHD) filter is proposed for multi-target tracking with automatic track extraction. Based on the evolutionary difference between the persistent targets and the birth targets, the measurements are adaptively partitioned into two parts, persistent and birth measurement sets, for updating the persistent and birth target Probability Hypothesis Density, respectively. Furthermore, the collaboration mechanism of multiple probability hypothesis density (PHDs) is established, where tracks can be automatically extracted...
October 11, 2016: Sensors
https://www.readbyqxmd.com/read/27716836/large-scale-off-target-identification-using-fast-and-accurate-dual-regularized-one-class-collaborative-filtering-and-its-application-to-drug-repurposing
#10
Hansaim Lim, Aleksandar Poleksic, Yuan Yao, Hanghang Tong, Di He, Luke Zhuang, Patrick Meng, Lei Xie
Target-based screening is one of the major approaches in drug discovery. Besides the intended target, unexpected drug off-target interactions often occur, and many of them have not been recognized and characterized. The off-target interactions can be responsible for either therapeutic or side effects. Thus, identifying the genome-wide off-targets of lead compounds or existing drugs will be critical for designing effective and safe drugs, and providing new opportunities for drug repurposing. Although many computational methods have been developed to predict drug-target interactions, they are either less accurate than the one that we are proposing here or computationally too intensive, thereby limiting their capability for large-scale off-target identification...
October 2016: PLoS Computational Biology
https://www.readbyqxmd.com/read/27618057/distributed-particle-filter-for-target-tracking-with-reduced-sensor-communications
#11
Tadesse Ghirmai
For efficient and accurate estimation of the location of objects, a network of sensors can be used to detect and track targets in a distributed manner. In nonlinear and/or non-Gaussian dynamic models, distributed particle filtering methods are commonly applied to develop target tracking algorithms. An important consideration in developing a distributed particle filtering algorithm in wireless sensor networks is reducing the size of data exchanged among the sensors because of power and bandwidth constraints...
2016: Sensors
https://www.readbyqxmd.com/read/27608451/social-collaborative-filtering-by-trust
#12
Bo Yang, Yu Lei, Jiming Liu, Wenjie Li
Recommender systems are used to accurately and actively provide users with potentially interesting information or services. Collaborative filtering is a widely adopted approach to recommendation, but sparse data and cold-start users are often barriers to providing high quality recommendations. To address such issues, we propose a novel method that works to improve the performance of collaborative filtering recommendations by integrating sparse rating data given by users and sparse social trust network among these same users...
September 1, 2016: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/27605006/what-do-general-practitioners-know-about-adhd-attitudes-and-knowledge-among-first-contact-gatekeepers-systematic-narrative-review
#13
Mimi Tatlow-Golden, Lucia Prihodova, Blanaid Gavin, Walter Cullen, Fiona McNicholas
BACKGROUND: Attention Deficit Hyperactivity Disorder (ADHD) is a common childhood disorder with international prevalence estimates of 5 % in childhood, yet significant evidence exists that far fewer children receive ADHD services. In many countries, ADHD is assessed and diagnosed in specialist mental health or neuro-developmental paediatric clinics, to which referral by General (Family) Practitioners (GPs) is required. In such 'gatekeeper' settings, where GPs act as a filter to diagnosis and treatment, GPs may either not recognise potential ADHD cases, or may be reluctant to refer...
2016: BMC Family Practice
https://www.readbyqxmd.com/read/27591247/stem-cell-insights-into-human-trophoblast-lineage-differentiation
#14
Teena Kjb Gamage, Lawrence W Chamley, Joanna L James
BACKGROUND: The human placenta is vital for fetal development, yet little is understood about how it forms successfully to ensure a healthy pregnancy or why this process is inadequate in 1 in 10 pregnancies, leading to miscarriage, intrauterine growth restriction or preeclampsia. Trophoblasts are placenta-specific epithelial cells that maximize nutrient exchange. All trophoblast lineages are thought to arise from a population of trophoblast stem cells (TSCs). However, whilst the isolation of murine TSC has led to an explosion in understanding murine placentation, the isolation of an analogous human TSC has proved more difficult...
September 2, 2016: Human Reproduction Update
https://www.readbyqxmd.com/read/27585968/molecular-epidemiology-of-kpc-producing-klebsiella-pneumoniae-from-invasive-infections-in-italy-increasing-diversity-with-predominance-of-the-st512-clade-ii-sublineage
#15
Viola Conte, Monica Monaco, Tommaso Giani, Fortunato D'Ancona, Maria Luisa Moro, Fabio Arena, Marco Maria D'Andrea, Gian Maria Rossolini, Annalisa Pantosti
OBJECTIVES: The spread of carbapenem-resistant Enterobacteriaceae (CRE) represents one of the most worrisome problems for clinical medicine worldwide. In Italy, the Antibiotic-Resistance-Istituto Superiore di Sanità surveillance network, in collaboration with the Committee for Antimicrobial Agents of the Italian Society of Clinical Microbiologists, promoted a study to investigate the carbapenem-resistance mechanisms, clonal relatedness and capsular typing of a recent collection of carbapenem-resistant Klebsiella pneumoniae (CR-KP)...
September 1, 2016: Journal of Antimicrobial Chemotherapy
https://www.readbyqxmd.com/read/27570644/cohort-selection-and-management-application-leveraging-standards-based-semantic-interoperability-and-a-groovy-dsl
#16
Anca Bucur, Jasper van Leeuwen, Njin-Zu Chen, Brecht Claerhout, Kristof de Schepper, David Perez-Rey, Sergio Paraiso-Medina, Raul Alonso-Calvo, Keyur Mehta, Cyril Krykwinski
This paper describes a new Cohort Selection application implemented to support streamlining the definition phase of multi-centric clinical research in oncology. Our approach aims at both ease of use and precision in defining the selection filters expressing the characteristics of the desired population. The application leverages our standards-based Semantic Interoperability Solution and a Groovy DSL to provide high expressiveness in the definition of filters and flexibility in their composition into complex selection graphs including splits and merges...
2016: AMIA Summits on Translational Science Proceedings
https://www.readbyqxmd.com/read/27492316/-recommendation-for-the-collection-and-analysis-of-data-on-participation-and-disability-from-the-perspective-of-the-world-health-organization
#17
Michaela Coenen, Carla Sabariego, Alarcos Cieza
BACKGROUND: The Convention on the Rights of Persons with Disabilities (UNCRPD) demands actions to improve participation of people with disability and to remove barriers that hinder participation in society on an equal basis with others. Policymaking in this area requires reliable and detailed data on all aspects of disability. Up to now, there has been no standardized tool for collecting data on disability and participation in the general population. In November 2011, WHO, in collaboration with the World Bank, started the development of the Model Disability Survey (MDS)...
September 2016: Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
https://www.readbyqxmd.com/read/27479983/a-novel-riemannian-metric-based-on-riemannian-structure-and-scaling-information-for-fixed-low-rank-matrix-completion
#18
Shasha Mao, Lin Xiong, Licheng Jiao, Tian Feng, Sai-Kit Yeung
Riemannian optimization has been widely used to deal with the fixed low-rank matrix completion problem, and Riemannian metric is a crucial factor of obtaining the search direction in Riemannian optimization. This paper proposes a new Riemannian metric via simultaneously considering the Riemannian geometry structure and the scaling information, which is smoothly varying and invariant along the equivalence class. The proposed metric can make a tradeoff between the Riemannian geometry structure and the scaling information effectively...
July 26, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/27455532/weighted-optimization-based-distributed-kalman-filter-for-nonlinear-target-tracking-in-collaborative-sensor-networks
#19
Jie Chen, Jiahong Li, Shuanghua Yang, Fang Deng
The identification of the nonlinearity and coupling is crucial in nonlinear target tracking problem in collaborative sensor networks. According to the adaptive Kalman filtering (KF) method, the nonlinearity and coupling can be regarded as the model noise covariance, and estimated by minimizing the innovation or residual errors of the states. However, the method requires large time window of data to achieve reliable covariance measurement, making it impractical for nonlinear systems which are rapidly changing...
July 21, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/27445838/sexual-activity-before-sports-competition-a-systematic-review
#20
REVIEW
Laura Stefani, Giorgio Galanti, Johnny Padulo, Nicola L Bragazzi, Nicola Maffulli
Sexual activity before competition has been considered as a possible cause for reduced performance since ancient Greece and Rome. Recently, the hypothesis that optimal sport performance could be influenced by a variety of factors including sexual activity before competition has been investigated. However, few scientific data are available, with the exception of anecdotal reports of individual experiences. The present systematic review focused on the current scientific evidence on the effects of sexual activity on sport performance regardless of sport type...
2016: Frontiers in Physiology
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