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Pesquisa : L01.399.250.590 [Categoria DeCS]
Referências encontradas : 40 [refinar]
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[PMID]:29202689
[Au] Autor:Jalili V; Matteucci M; Masseroli M; Ceri S
[Ad] Endereço:Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, 20133, Italy. vahid.jalili@polimi.it.
[Ti] Título:Explorative visual analytics on interval-based genomic data and their metadata.
[So] Source:BMC Bioinformatics;18(1):536, 2017 Dec 04.
[Is] ISSN:1471-2105
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:BACKGROUND: With the wide-spreading of public repositories of NGS processed data, the availability of user-friendly and effective tools for data exploration, analysis and visualization is becoming very relevant. These tools enable interactive analytics, an exploratory approach for the seamless "sense-making" of data through on-the-fly integration of analysis and visualization phases, suggested not only for evaluating processing results, but also for designing and adapting NGS data analysis pipelines. RESULTS: This paper presents abstractions for supporting the early analysis of NGS processed data and their implementation in an associated tool, named GenoMetric Space Explorer (GeMSE). This tool serves the needs of the GenoMetric Query Language, an innovative cloud-based system for computing complex queries over heterogeneous processed data. It can also be used starting from any text files in standard BED, BroadPeak, NarrowPeak, GTF, or general tab-delimited format, containing numerical features of genomic regions; metadata can be provided as text files in tab-delimited attribute-value format. GeMSE allows interactive analytics, consisting of on-the-fly cycling among steps of data exploration, analysis and visualization that help biologists and bioinformaticians in making sense of heterogeneous genomic datasets. By means of an explorative interaction support, users can trace past activities and quickly recover their results, seamlessly going backward and forward in the analysis steps and comparative visualizations of heatmaps. CONCLUSIONS: GeMSE effective application and practical usefulness is demonstrated through significant use cases of biological interest. GeMSE is available at http://www.bioinformatics.deib.polimi.it/GeMSE/ , and its source code is available at https://github.com/Genometric/GeMSE under GPLv3 open-source license.
[Mh] Termos MeSH primário: Bases de Dados Genéticas
Genômica/métodos
Metadados
[Mh] Termos MeSH secundário: Células A549
Dexametasona/farmacologia
Etanol/farmacologia
Seres Humanos
Modelos Teóricos
Reconhecimento Automatizado de Padrão
Mapeamento de Interação de Proteínas
Software
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Nm] Nome de substância:
3K9958V90M (Ethanol); 7S5I7G3JQL (Dexamethasone)
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180309
[Lr] Data última revisão:
180309
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171206
[St] Status:MEDLINE
[do] DOI:10.1186/s12859-017-1945-9


  2 / 40 MEDLINE  
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[PMID]:29227080
[Au] Autor:Wolfberg M
[Ti] Título:Big Data, The Law and You: Embracing data can reduce potential liability.
[So] Source:JEMS;42(5):16-7, 2017 05.
[Is] ISSN:0197-2510
[Cp] País de publicação:United States
[La] Idioma:eng
[Mh] Termos MeSH primário: Serviços Médicos de Emergência/legislação & jurisprudência
Prática Clínica Baseada em Evidências
Responsabilidade Legal
Metadados
[Mh] Termos MeSH secundário: Seres Humanos
Estados Unidos
Aquisição Baseada em Valor
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1801
[Cu] Atualização por classe:180115
[Lr] Data última revisão:
180115
[Sb] Subgrupo de revista:H
[Da] Data de entrada para processamento:171212
[St] Status:MEDLINE


  3 / 40 MEDLINE  
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[PMID]:29212678
[Au] Autor:Jacofsky DJ
[Ad] Endereço:The CORE Institute, 18444 N. 25th Avenue, Phoenix, Arizona, USA.
[Ti] Título:The myths of 'big data' in health care.
[So] Source:Bone Joint J;99-B(12):1571-1576, 2017 Dec.
[Is] ISSN:2049-4408
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:'Big data' is a term for data sets that are so large or complex that traditional data processing applications are inadequate. Billions of dollars have been spent on attempts to build predictive tools from large sets of poorly controlled healthcare metadata. Companies often sell reports at a physician or facility level based on various flawed data sources, and comparative websites of 'publicly reported data' purport to educate the public. Physicians should be aware of concerns and pitfalls seen in such data definitions, data clarity, data relevance, data sources and data cleaning when evaluating analytic reports from metadata in health care. Cite this article: 2017;99-B:1571-6.
[Mh] Termos MeSH primário: Mineração de Dados/normas
Conjuntos de Dados como Assunto/normas
Assistência à Saúde/normas
Metadados/normas
[Mh] Termos MeSH secundário: Seres Humanos
[Pt] Tipo de publicação:JOURNAL ARTICLE; REVIEW
[Em] Mês de entrada:1712
[Cu] Atualização por classe:171213
[Lr] Data última revisão:
171213
[Sb] Subgrupo de revista:AIM; IM
[Da] Data de entrada para processamento:171208
[St] Status:MEDLINE
[do] DOI:10.1302/0301-620X.99B12.BJJ-2017-0939


  4 / 40 MEDLINE  
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[PMID]:28981512
[Au] Autor:Haruna K; Akmar Ismail M; Damiasih D; Sutopo J; Herawan T
[Ad] Endereço:Department of Computer Science, Faculty of Computer Science and Information Technology, Bayero University, Kano, Nigeria.
[Ti] Título:A collaborative approach for research paper recommender system.
[So] Source:PLoS One;12(10):e0184516, 2017.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:Research paper recommenders emerged over the last decade to ease finding publications relating to researchers' area of interest. The challenge was not just to provide researchers with very rich publications at any time, any place and in any form but to also offer the right publication to the right researcher in the right way. Several approaches exist in handling paper recommender systems. However, these approaches assumed the availability of the whole contents of the recommending papers to be freely accessible, which is not always true due to factors such as copyright restrictions. This paper presents a collaborative approach for research paper recommender system. By leveraging the advantages of collaborative filtering approach, we utilize the publicly available contextual metadata to infer the hidden associations that exist between research papers in order to personalize recommendations. The novelty of our proposed approach is that it provides personalized recommendations regardless of the research field and regardless of the user's expertise. Using a publicly available dataset, our proposed approach has recorded a significant improvement over other baseline methods in measuring both the overall performance and the ability to return relevant and useful publications at the top of the recommendation list.
[Mh] Termos MeSH primário: Comportamento Cooperativo
Editoração
Pesquisa
[Mh] Termos MeSH secundário: Metadados
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171022
[Lr] Data última revisão:
171022
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171006
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0184516


  5 / 40 MEDLINE  
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[PMID]:28850620
[Au] Autor:Morgan-Lopez AA; Kim AE; Chew RF; Ruddle P
[Ad] Endereço:Behavioral Health and Criminal Justice Research Division, RTI International, Research Triangle Park, North Carolina, United States of America.
[Ti] Título:Predicting age groups of Twitter users based on language and metadata features.
[So] Source:PLoS One;12(8):e0183537, 2017.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:Health organizations are increasingly using social media, such as Twitter, to disseminate health messages to target audiences. Determining the extent to which the target audience (e.g., age groups) was reached is critical to evaluating the impact of social media education campaigns. The main objective of this study was to examine the separate and joint predictive validity of linguistic and metadata features in predicting the age of Twitter users. We created a labeled dataset of Twitter users across different age groups (youth, young adults, adults) by collecting publicly available birthday announcement tweets using the Twitter Search application programming interface. We manually reviewed results and, for each age-labeled handle, collected the 200 most recent publicly available tweets and user handles' metadata. The labeled data were split into training and test datasets. We created separate models to examine the predictive validity of language features only, metadata features only, language and metadata features, and words/phrases from another age-validated dataset. We estimated accuracy, precision, recall, and F1 metrics for each model. An L1-regularized logistic regression model was conducted for each age group, and predicted probabilities between the training and test sets were compared for each age group. Cohen's d effect sizes were calculated to examine the relative importance of significant features. Models containing both Tweet language features and metadata features performed the best (74% precision, 74% recall, 74% F1) while the model containing only Twitter metadata features were least accurate (58% precision, 60% recall, and 57% F1 score). Top predictive features included use of terms such as "school" for youth and "college" for young adults. Overall, it was more challenging to predict older adults accurately. These results suggest that examining linguistic and Twitter metadata features to predict youth and young adult Twitter users may be helpful for informing public health surveillance and evaluation research.
[Mh] Termos MeSH primário: Julgamento
Linguagem
Metadados
Mídias Sociais
[Mh] Termos MeSH secundário: Adolescente
Adulto
Fatores Etários
Coleta de Dados
Seres Humanos
Modelos Teóricos
Adulto Jovem
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171019
[Lr] Data última revisão:
171019
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170830
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0183537


  6 / 40 MEDLINE  
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[PMID]:28850594
[Au] Autor:Cottineau C
[Ad] Endereço:Urban Dynamics Lab, Centre for Advanced Spatial Analysis, University College London, W1T 4TJ, United Kingdom.
[Ti] Título:MetaZipf. A dynamic meta-analysis of city size distributions.
[So] Source:PLoS One;12(8):e0183919, 2017.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:The results from urban scaling in recent years have held the promise of increased efficiency to the societies who could actively control the distribution of their cities' size. However, little evidence exists as to the factors which influence the level of urban unevenness, as expressed by the slope of the rank-size distribution, partly because the diversity of results found in the literature follows the heterogeneity of analysis specifications. In this study, I set up a meta-analysis of Zipf's law which accounts for technical as well as topical factors of variations of Zipf's coefficient. I found 86 studies publishing at least one empirical estimation of this coefficient and recorded their metadata into an open database. I regressed the 1962 corresponding estimates with variables describing the study and the estimation process as well as socio-demographic variables describing the territory under enquiry. A dynamic meta-analysis was also performed to look for factors of evolution of city size unevenness. The results of the most interesting models are presented in the article, whereas all analyses can be reproduced on a dedicated online platform. The results show that on average, 40% of the variation of Zipf's coefficients is due to the technical choices. The main other variables associated with distinct evolutions are linked to the urbanisation process rather than the process of economic development and population growth. Finally, no evidence was found to support the effectiveness of past planning actions in modifying this urban feature.
[Mh] Termos MeSH primário: Cidades
Planejamento de Cidades
Modelos Teóricos
[Mh] Termos MeSH secundário: Bases de Dados Factuais
Seres Humanos
Metadados
[Pt] Tipo de publicação:JOURNAL ARTICLE; META-ANALYSIS
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171019
[Lr] Data última revisão:
171019
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170830
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0183919


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[PMID]:28838197
[Au] Autor:Burnett E; Wannemuehler K; Ngoie Mwamba G; Yolande M; Guylain K; Muriel NN; Cathy N; Patrice T; Wilkins K; Yoloyolo N
[Ad] Endereço:US Centers for Disease Control and Prevention, Atlanta.
[Ti] Título:Individually Linked Household and Health Facility Vaccination Survey in 12 At-risk Districts in Kinshasa Province, Democratic Republic of Congo: Methods and Metadata.
[So] Source:J Infect Dis;216(suppl_1):S237-S243, 2017 Jul 01.
[Is] ISSN:1537-6613
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:Health facility (HF) and household (HH) data can complement each other to provide a better understanding of the factors that contribute to vaccination status. In 12 zones with low vaccination coverage within Kinshasa Province, Democratic Republic of Congo, we conducted 2 surveys: (1) a linked HH and HF survey among 6-11-month-old infants, and (2) a HH survey among 12-23-month-old children. Linked survey objectives were to identify factors associated with vaccination status and to explore methodological considerations for linked survey implementation. To provide linked HH and HF data, we enrolled 6-11-month-old infants in HH clusters in each zone and then surveyed HFs located within the 12 zones and cited by caregivers of the enrolled infants as the most recent HF visited for vaccination or curative care. To provide vaccination coverage estimates for the 12-zone area, we enrolled 12-23-month-old children in every fourth HH. Of the HHs with a child aged 6-23 months, 16% were ineligible because they had resided in the neighborhood for <3 months or were unavailable to be interviewed, 4% refused, and 80% were eligible and participated. Of 1224 enrolled infants 6-11 months of age, records of 879 (72%) were linked to one of the 182 surveyed HFs. For the coverage survey, 710 children aged 12-23 months participated. Home-based vaccination cards were available for 1210 of 1934 children (63%) surveyed. The surveys were successful in assessing HH information for 2 age groups, documenting written vaccination history for a large proportion of 6-23-month-old children, linking the majority of infants with their most recently visited HF, and surveying identified HFs. The implementation of the individually linked survey also highlighted the need for a comprehensive list of HFs and an analysis plan that addresses cross-classified clusters with only 1 child.
[Mh] Termos MeSH primário: Características da Família
Instalações de Saúde/estatística & dados numéricos
Vacinação/estatística & dados numéricos
[Mh] Termos MeSH secundário: Análise por Conglomerados
Estudos Transversais
República Democrática do Congo/epidemiologia
Seres Humanos
Lactente
Metadados
Inquéritos e Questionários
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1709
[Cu] Atualização por classe:170906
[Lr] Data última revisão:
170906
[Sb] Subgrupo de revista:AIM; IM
[Da] Data de entrada para processamento:170826
[St] Status:MEDLINE
[do] DOI:10.1093/infdis/jix125


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[PMID]:28792494
[Au] Autor:Yazdani M; Chow J; Manovich L
[Ad] Endereço:California Institute for Telecommunications and Information Technology's Qualcomm Institute, University of California San Diego, San Diego, California, United States of America.
[Ti] Título:Quantifying the development of user-generated art during 2001-2010.
[So] Source:PLoS One;12(8):e0175350, 2017.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:One of the main questions in the humanities is how cultures and artistic expressions change over time. While a number of researchers have used quantitative computational methods to study historical changes in literature, music, and cinema, our paper offers the first quantitative analysis of historical changes in visual art created by users of a social online network. We propose a number of computational methods for the analysis of temporal development of art images. We then apply these methods to a sample of 270,000 artworks created between 2001 and 2010 by users of the largest social network for art-DeviantArt (www.deviantart.com). We investigate changes in subjects, techniques, sizes, proportions and also selected visual characteristics of images. Because these artworks are classified by their creators into two general categories-Traditional Art and Digital Art-we are also able to investigate if the use of digital tools has had a significant effect on the content and form of artworks. Our analysis reveals a number of gradual and systematic changes over a ten-year period in artworks belonging to both categories.
[Mh] Termos MeSH primário: Arte
Ciências Humanas/tendências
[Mh] Termos MeSH secundário: Conjuntos de Dados como Assunto
Seres Humanos
Processamento de Imagem Assistida por Computador
Internet
Metadados
Análise de Componente Principal
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171006
[Lr] Data última revisão:
171006
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170810
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0175350


  9 / 40 MEDLINE  
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[PMID]:28771471
[Au] Autor:Deck J; Gaither MR; Ewing R; Bird CE; Davies N; Meyer C; Riginos C; Toonen RJ; Crandall ED
[Ad] Endereço:Berkeley Natural History Museums, University of California, Berkeley, California, United States of America.
[Ti] Título:The Genomic Observatories Metadatabase (GeOMe): A new repository for field and sampling event metadata associated with genetic samples.
[So] Source:PLoS Biol;15(8):e2002925, 2017 Aug.
[Is] ISSN:1545-7885
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:The Genomic Observatories Metadatabase (GeOMe, http://www.geome-db.org/) is an open access repository for geographic and ecological metadata associated with biosamples and genetic data. Whereas public databases have served as vital repositories for nucleotide sequences, they do not accession all the metadata required for ecological or evolutionary analyses. GeOMe fills this need, providing a user-friendly, web-based interface for both data contributors and data recipients. The interface allows data contributors to create a customized yet standard-compliant spreadsheet that captures the temporal and geospatial context of each biosample. These metadata are then validated and permanently linked to archived genetic data stored in the National Center for Biotechnology Information's (NCBI's) Sequence Read Archive (SRA) via unique persistent identifiers. By linking ecologically and evolutionarily relevant metadata with publicly archived sequence data in a structured manner, GeOMe sets a gold standard for data management in biodiversity science.
[Mh] Termos MeSH primário: Biodiversidade
Bases de Dados de Ácidos Nucleicos
Metadados
Metagenômica
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1709
[Cu] Atualização por classe:170927
[Lr] Data última revisão:
170927
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170804
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pbio.2002925


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[PMID]:28516934
[Au] Autor:Griffin E
[Ti] Título:Rescue old data before it's too late.
[So] Source:Nature;545(7654):267, 2017 05 16.
[Is] ISSN:1476-4687
[Cp] País de publicação:England
[La] Idioma:eng
[Mh] Termos MeSH primário: Conversão Análogo-Digital
Astronomia/história
Ecologia/história
Disseminação de Informação/métodos
Armazenamento e Recuperação da Informação/tendências
Conhecimento
Fotografia/história
Registros como Assunto
[Mh] Termos MeSH secundário: Animais
Aves
Extinção Biológica
História do Século XX
História do Século XXI
Armazenamento e Recuperação da Informação/economia
Metadados
Ozônio/análise
Registros como Assunto/economia
Fatores de Tempo
Tempo (Meteorologia)
[Pt] Tipo de publicação:HISTORICAL ARTICLE; JOURNAL ARTICLE
[Nm] Nome de substância:
66H7ZZK23N (Ozone)
[Em] Mês de entrada:1709
[Cu] Atualização por classe:170914
[Lr] Data última revisão:
170914
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170519
[St] Status:MEDLINE
[do] DOI:10.1038/545267a



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