keyword
MENU ▼
Read by QxMD icon Read
search

"Big data"

keyword
https://www.readbyqxmd.com/read/28337216/smart-data-where-the-big-data-meets-the-semantics
#1
EDITORIAL
Trong H Duong, Hong Q Nguyen, Geun S Jo
No abstract text is available yet for this article.
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28336802/the-dynamics-of-big-data-and-human-rights-the-case-of-scientific-research
#2
Effy Vayena, John Tasioulas
In this paper, we address the complex relationship between big data and human rights. Because this is a vast terrain, we restrict our focus in two main ways. First, we concentrate on big data applications in scientific research, mostly health-related research. And, second, we concentrate on two human rights: the familiar right to privacy and the less well-known right to science. Our contention is that human rights interact in potentially complex ways with big data, not only constraining it, but also enabling it in various ways; and that such rights are dynamic in character, rather than fixed once and for all, changing in their implications over time in line with changes in the context we inhabit, and also as they interact among themselves in jointly responding to the opportunities and risks thrown up by a changing world...
December 28, 2016: Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
https://www.readbyqxmd.com/read/28336800/the-ethics-of-big-data-as-a-public-good-which-public-whose-good
#3
Linnet Taylor
International development and humanitarian organizations are increasingly calling for digital data to be treated as a public good because of its value in supplementing scarce national statistics and informing interventions, including in emergencies. In response to this claim, a 'responsible data' movement has evolved to discuss guidelines and frameworks that will establish ethical principles for data sharing. However, this movement is not gaining traction with those who hold the highest-value data, particularly mobile network operators who are proving reluctant to make data collected in low- and middle-income countries accessible through intermediaries...
December 28, 2016: Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
https://www.readbyqxmd.com/read/28336795/the-opportunities-and-ethics-of-big-data-practical-priorities-for-a-national-council-of-data-ethics
#4
REVIEW
Olivia Varley-Winter, Hetan Shah
In order to generate the gains that can come from analysing and linking big datasets, data holders need to consider the ethical frameworks, principles and applications that help to maintain public trust. In the USA, the National Science Foundation helped to set up a Council for Big Data, Ethics and Society, of which there is no equivalent in the UK. In November 2015, the Royal Statistical Society convened a workshop of 28 participants from government, academia and the private sector, and discussed the practical priorities that might be assisted by a new Council of Data Ethics in the UK...
December 28, 2016: Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
https://www.readbyqxmd.com/read/28336794/the-ethics-of-smart-cities-and-urban-science
#5
Rob Kitchin
Software-enabled technologies and urban big data have become essential to the functioning of cities. Consequently, urban operational governance and city services are becoming highly responsive to a form of data-driven urbanism that is the key mode of production for smart cities. At the heart of data-driven urbanism is a computational understanding of city systems that reduces urban life to logic and calculative rules and procedures, which is underpinned by an instrumental rationality and realist epistemology...
December 28, 2016: Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
https://www.readbyqxmd.com/read/28336793/compelling-truth-legal-protection-of-the-infosphere-against-big-data-spills
#6
Burkhard Schafer
The paper explores whether legal and ethical concepts that have been used to protect the natural environment can also be leveraged to protect the 'infosphere', a neologism used by Luciano Floridi to characterize the totality of the informational environment. We focus, in particular, on the interaction between allocation of (intellectual) property rights and 'communication duties', in particular, data breach notification duties.This article is part of the themed issue 'The ethical impact of data science'.
December 28, 2016: Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
https://www.readbyqxmd.com/read/28335044/semi-automated-de-identification-of-german-content-sensitive-reports-for-big-data-analytics
#7
Hannes Seuss, Peter Dankerl, Matthias Ihle, Andrea Grandjean, Rebecca Hammon, Nicola Kaestle, Peter A Fasching, Christian Maier, Jan Christoph, Martin Sedlmayr, Alexander Cavallaro, Matthias Hammon
Purpose Projects involving collaborations between different institutions require data security via selective de-identification of words or phrases. A semi-automated de-identification tool was developed and evaluated on different types of medical reports natively and after adapting the algorithm to the text structure. Materials and Methods A semi-automated de-identification tool was developed and evaluated for its sensitivity and specificity in detecting sensitive content in written reports. Data from 4671 pathology reports (4105 + 566 in two different formats), 2804 medical reports, 1008 operation reports, and 6223 radiology reports of 1167 patients suffering from breast cancer were de-identified...
March 23, 2017: RöFo: Fortschritte Auf Dem Gebiete der Röntgenstrahlen und der Nuklearmedizin
https://www.readbyqxmd.com/read/28334574/microscopy-meet-big-data
#8
Antony Orth, Diane Schaak, Ethan Schonbrun
The analysis of massive microscopy datasets using deep neural networks provides an alternative to molecular labeling to characterize cellular states.
March 22, 2017: Cell Systems
https://www.readbyqxmd.com/read/28333637/multi-scale-multi-feature-context-modeling-for-scene-recognition-in-the-semantic-manifold
#9
Xinhang Song, Shuqiang Jiang, Luis Herranz
Before the big data era, scene recognition was often approached with two-step inference using localized intermediate representations (objects, topics, etc). One of such approaches is the semantic manifold (SM), in which patches and images are modeled as points in a semantic probability simplex. Patch models are learned resorting to weak supervision via image labels, which leads to the problem of scene categories co-occurring in this semantic space. Fortunately, each category has its own cooccurrence patterns that are consistent across the images in that category...
March 22, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28333183/machine-learning-algorithms-for-objective-remission-and-clinical-outcomes-with-thiopurines
#10
Akbar K Waljee, Kay Sauder, Anand Patel, Sandeep Segar, Boang Liu, Yiwei Zhang, Ji Zhu, Ryan W Stidham, Ulysses Balis, Peter D R Higgins
Background and Aims: Big data analytics leverage patterns in data to harvest valuable information, but are rarely implemented in clinical care. Optimising thiopurine therapy for inflammatory bowel disease [IBD] has proved difficult. Current methods using 6-thioguanine nucleotide [6-TGN] metabolites have failed in randomized controlled trials [RCTs], and have not been used to predict objective remission [OR]. Our aims were to: 1) develop machine learning algorithms [MLA] using laboratory values and age to identify patients in objective remission on thiopurines; and 2) determine whether achieving algorithm-predicted objective remission resulted in fewer clinical events per year...
March 14, 2017: Journal of Crohn's & Colitis
https://www.readbyqxmd.com/read/28332868/is-autoimmunology-a-discipline-of-its-own-a-big-data-based-bibliometric-and-scientometric-analyses
#11
Abdulla Watad, Nicola Luigi Bragazzi, Mohammad Adawi, Howard Amital, Shaye Kivity, Naim Mahroum, Miri Blank, Yehuda Shoenfeld
Autoimmunology is a super-specialty of immunology specifically dealing with autoimmune disorders. To assess the extant literature concerning autoimmune disorders, bibliometric and scientometric analyses (namely, research topics/keywords co-occurrence, journal co-citation, citations, and scientific output trends - both crude and normalized, authors network, leading authors, countries, and organizations analysis) were carried out using open-source software, namely, VOSviewer and SciCurve. A corpus of 169,519 articles containing the keyword "autoimmunity" was utilized, selecting PubMed/MEDLINE as bibliographic thesaurus...
March 23, 2017: Autoimmunity
https://www.readbyqxmd.com/read/28331849/a-review-of-recent-advancement-in-integrating-omics-data-with-literature-mining-towards-biomedical-discoveries
#12
REVIEW
Kalpana Raja, Matthew Patrick, Yilin Gao, Desmond Madu, Yuyang Yang, Lam C Tsoi
In the past decade, the volume of "omics" data generated by the different high-throughput technologies has expanded exponentially. The managing, storing, and analyzing of this big data have been a great challenge for the researchers, especially when moving towards the goal of generating testable data-driven hypotheses, which has been the promise of the high-throughput experimental techniques. Different bioinformatics approaches have been developed to streamline the downstream analyzes by providing independent information to interpret and provide biological inference...
2017: International Journal of Genomics
https://www.readbyqxmd.com/read/28325553/metabolomics-through-the-lens-of-precision-cardiovascular-medicine
#13
REVIEW
Sin Man Lam, Yuan Wang, Bowen Li, Jie Du, Guanghou Shui
Metabolomics, which targets at the extensive characterization and quantitation of global metabolites from both endogenous and exogenous sources, has emerged as a novel technological avenue to advance the field of precision medicine principally driven by genomics-oriented approaches. In particular, metabolomics has revealed the cardinal roles that the environment exerts in driving the progression of major diseases threatening public health. Herein, the existent and potential applications of metabolomics in two key areas of precision cardiovascular medicine will be critically discussed: 1) the use of metabolomics in unveiling novel disease biomarkers and pathological pathways; 2) the contribution of metabolomics in cardiovascular drug development...
March 8, 2017: Journal of Genetics and Genomics, Yi Chuan Xue Bao
https://www.readbyqxmd.com/read/28324897/neonatal-feeding-behavior-as-a-complex-dynamical-system
#14
Eugene C Goldfield, Jennifer Perez, Katherine Engstler
The requirements of evidence-based practice in 2017 are motivating new theoretical foundations and methodological tools for characterizing neonatal feeding behavior. Toward that end, this article offers a complex dynamical systems perspective. A set of critical concepts from this perspective frames challenges faced by speech-language pathologists and allied professionals: when to initiate oral feeds, how to determine the robustness of neonatal breathing during feeding and appropriate levels of respiratory support, what instrumental assessments of swallow function to use with preterm neonates, and whether or not to introduce thickened liquids...
April 2017: Seminars in Speech and Language
https://www.readbyqxmd.com/read/28321561/ethics-and-epistemology-in-big-data-research
#15
Wendy Lipworth, Paul H Mason, Ian Kerridge, John P A Ioannidis
Biomedical innovation and translation are increasingly emphasizing research using "big data." The hope is that big data methods will both speed up research and make its results more applicable to "real-world" patients and health services. While big data research has been embraced by scientists, politicians, industry, and the public, numerous ethical, organizational, and technical/methodological concerns have also been raised. With respect to technical and methodological concerns, there is a view that these will be resolved through sophisticated information technologies, predictive algorithms, and data analysis techniques...
March 20, 2017: Journal of Bioethical Inquiry
https://www.readbyqxmd.com/read/28317049/programming-and-runtime-support-to-blaze-fpga-accelerator-deployment-at-datacenter-scale
#16
Muhuan Huang, Di Wu, Cody Hao Yu, Zhenman Fang, Matteo Interlandi, Tyson Condie, Jason Cong
With the end of CPU core scaling due to dark silicon limitations, customized accelerators on FPGAs have gained increased attention in modern datacenters due to their lower power, high performance and energy efficiency. Evidenced by Microsoft's FPGA deployment in its Bing search engine and Intel's 16.7 billion acquisition of Altera, integrating FPGAs into datacenters is considered one of the most promising approaches to sustain future datacenter growth. However, it is quite challenging for existing big data computing systems-like Apache Spark and Hadoop-to access the performance and energy benefits of FPGA accelerators...
October 2016: Proc ACM Symp Cloud Comput
https://www.readbyqxmd.com/read/28316892/from-big-data-to-diagnosis-and-prognosis-gene-expression-signatures-in-liver-hepatocellular-carcinoma
#17
Hong Yang, Xin Zhang, Xiao-Yong Cai, Dong-Yue Wen, Zhi-Hua Ye, Liang Liang, Lu Zhang, Han-Lin Wang, Gang Chen, Zhen-Bo Feng
BACKGROUND: Liver hepatocellular carcinoma accounts for the overwhelming majority of primary liver cancers and its belated diagnosis and poor prognosis call for novel biomarkers to be discovered, which, in the era of big data, innovative bioinformatics and computational techniques can prove to be highly helpful in. METHODS: Big data aggregated from The Cancer Genome Atlas and Natural Language Processing were integrated to generate differentially expressed genes...
2017: PeerJ
https://www.readbyqxmd.com/read/28316655/excape-db-an-integrated-large-scale-dataset-facilitating-big-data-analysis-in-chemogenomics
#18
Jiangming Sun, Nina Jeliazkova, Vladimir Chupakin, Jose-Felipe Golib-Dzib, Ola Engkvist, Lars Carlsson, Jörg Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay Kochev, Thomas J Ashby, Hongming Chen
Chemogenomics data generally refers to the activity data of chemical compounds on an array of protein targets and represents an important source of information for building in silico target prediction models. The increasing volume of chemogenomics data offers exciting opportunities to build models based on Big Data. Preparing a high quality data set is a vital step in realizing this goal and this work aims to compile such a comprehensive chemogenomics dataset. This dataset comprises over 70 million SAR data points from publicly available databases (PubChem and ChEMBL) including structure, target information and activity annotations...
2017: Journal of Cheminformatics
https://www.readbyqxmd.com/read/28316365/extracting-databases-from-dark-data-with-deepdive
#19
Ce Zhang, Jaeho Shin, Christopher Ré, Michael Cafarella, Feng Niu
DeepDive is a system for extracting relational databases from dark data: the mass of text, tables, and images that are widely collected and stored but which cannot be exploited by standard relational tools. If the information in dark data - scientific papers, Web classified ads, customer service notes, and so on - were instead in a relational database, it would give analysts a massive and valuable new set of "big data." DeepDive is distinctive when compared to previous information extraction systems in its ability to obtain very high precision and recall at reasonable engineering cost; in a number of applications, we have used DeepDive to create databases with accuracy that meets that of human annotators...
June 2016: Proceedings
https://www.readbyqxmd.com/read/28316140/descriptive-review-of-acute-cholecystitis-japan-taiwan-collaborative-epidemiological-study
#20
Masamichi Yokoe, Tadahiro Takada, Tsann-Long Hwang, Itaru Endo, Kohei Akazawa, Fumihiko Miura, Toshihiko Mayumi, Rintaro Mori, Miin-Fu Chen, Yi-Yin Jan, Chen-Guo Ker, Hsiu-Po Wang, Takao Itoi, Harumi Gomi, Seiki Kiriyama, Hiroki Yamaue, Masaru Miyazaki, Masakazu Yamamoto
BACKGROUND AND AIMS: Since the publication of the Tokyo Guidelines (TG13) for the management of acute cholecystitis (AC), multidirectional studies have been published. However epidemiological research about AC with big data was not projected. The aim of this study was to reveal the actual clinical conditions of AC. METHOD: The study was designed as an international multicenter retrospective study of AC in Japan and Taiwan from 2011 to 2013. The factors investigated comprised data related to demographic, history, physical examinations, laboratory and imaging findings...
March 18, 2017: Journal of Hepato-biliary-pancreatic Sciences
keyword
keyword
30503
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"