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https://www.readbyqxmd.com/read/28212287/big-data-analytics-for-genomic-medicine
#1
REVIEW
Karen Y He, Dongliang Ge, Max M He
Genomic medicine attempts to build individualized strategies for diagnostic or therapeutic decision-making by utilizing patients' genomic information. Big Data analytics uncovers hidden patterns, unknown correlations, and other insights through examining large-scale various data sets. While integration and manipulation of diverse genomic data and comprehensive electronic health records (EHRs) on a Big Data infrastructure exhibit challenges, they also provide a feasible opportunity to develop an efficient and effective approach to identify clinically actionable genetic variants for individualized diagnosis and therapy...
February 15, 2017: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/28212089/streammap-smooth-dynamic-visualization-of-high-density-streaming-points
#2
Chenhui Li, George Baciu, Han Yu
Interactive visualization of streaming points for real-time scatterplots and linear blending of correlation patterns is increasingly becoming the dominant mode of visual analytics for both big data and streaming data from active sensors and broadcasting media. To better visualize and interact with inter-stream patterns, it is generally necessary to smooth out gaps or distortions in the streaming data. Previous approaches either animate the points directly or present a sampled static heatmap. We propose a new approach, called StreamMap, to smoothly blend high-density streaming points and create a visual flow that emphasizes the density pattern distributions...
February 13, 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28186006/what-we-can-learn-from-amazon-for-clinical-decision-support-systems
#3
Sidra Abid, Karim Keshavjee, Arsalan Karim, Aziz Guergachi
Health care continue to lag behind other industries, such as retail and financial services, in the use of decision-support-like tools. Amazon is particularly prolific in the use of advanced predictive and prescriptive analytics to assist its customers to purchase more, while increasing satisfaction, retention, repeat-purchases and loyalty. How can we do the same in health care? In this paper, we explore various elements of the Amazon website and Amazon's data science and big data practices to gather inspiration for re-designing clinical decision support in the health care sector...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28182548/fast-and-scalable-feature-selection-for-gene-expression-data-using-hilbert-schmidt-independence-criterion
#4
Mehrdad J Gangeh, Hadi Zarkoob, Ali Ghodsi
GOAL: In computational biology, selecting a small subset of informative genes from microarray data continues to be a challenge due to the presence of thousands of genes. This paper aims at quantifying the dependence between gene expression data and the response variables and to identifying a subset of the most informative genes using a fast and scalable multivariate algorithm. METHODS: A novel algorithm for feature selection from gene expression data was developed...
January 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28154108/contextual-correlates-of-physical-activity-among-older-adults-a-neighborhood-environment-wide-association-study-ne-was
#5
Stephen J Mooney, Spruha Joshi, Magdalena Cerdá, Gary J Kennedy, John R Beard, Andrew G Rundle
Background Few older adults achieve recommended physical activity levels. We conducted a 'Neighborhood Environment-Wide Association Study (NE-WAS)' of neighborhood influences on physical activity among older adults, analogous, in a genetic context, to a Genome Wide Association Study (GWAS). Methods Physical Activity Scale for the Elderly (PASE) and socio-demographic data were collected via telephone survey of 3,497 residents of New York City aged 65-75. Using Geographic Information Systems, we created 337 variables describing each participant's residential neighborhood's built, social, and economic context...
February 2, 2017: Cancer Epidemiology, Biomarkers & Prevention
https://www.readbyqxmd.com/read/28150231/protein-bioinformatics-databases-and-resources
#6
Chuming Chen, Hongzhan Huang, Cathy H Wu
Many publicly available data repositories and resources have been developed to support protein-related information management, data-driven hypothesis generation, and biological knowledge discovery. To help researchers quickly find the appropriate protein-related informatics resources, we present a comprehensive review (with categorization and description) of major protein bioinformatics databases in this chapter. We also discuss the challenges and opportunities for developing next-generation protein bioinformatics databases and resources to support data integration and data analytics in the Big Data era...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28148322/big-data-and-paediatric-cardiovascular-disease-in-the-era-of-transparency-in-healthcare
#7
REVIEW
Alfred Asante-Korang, Jeffrey P Jacobs
The objectives of this review were to discuss the potential impact of Big Data analytics in paediatric cardiovascular disease and its potential to address the challenges of transparency in delivery of care to this unique population.
December 2016: Cardiology in the Young
https://www.readbyqxmd.com/read/28139415/residents-introduction-to-comparative-effectiveness-research-and-big-data-analytics
#8
Stella K Kang, Christoph I Lee, Pari V Pandharipande, Pina C Sanelli, Michael P Recht
No abstract text is available yet for this article.
January 27, 2017: Journal of the American College of Radiology: JACR
https://www.readbyqxmd.com/read/28113471/coping-with-volume-and-variety-in-temporal-event-sequences-strategies-for-sharpening-analytic-focus
#9
Fan Du, Ben Shneiderman, Catherine Plaisant, Sana Malik, Adam Perer
The growing volume and variety of data presents both opportunities and challenges for visual analytics. Addressing these challenges is needed for big data to provide valuable insights and novel solutions for business, security, social media, and healthcare. In the case of temporal event sequence analytics it is the number of events in the data and variety of temporal sequence patterns that challenges users of visual analytic tools. This paper describes 15 strategies for sharpening analytic focus that analysts can use to reduce the data volume and pattern variety...
March 9, 2016: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28113246/advanced-big-data-analytics-for-omic-data-and-electronic-health-records-toward-precision-medicine
#10
Po-Yen Wu, Chih-Wen Cheng, Chanchala Kaddi, Janani Venugopalan, Ryan Hoffman, May D Wang
OBJECTIVE: Rapid advances of high-throughput technologies and wide adoption of electronic health records (EHRs) have led to fast accumulation of -omic and EHR data. These voluminous complex data contain abundant information for precision medicine, and big data analytics can extract such knowledge to improve the quality of health care. METHODS: In this article, we present -omic and EHR data characteristics, associated challenges, and data analytics including data pre-processing, mining, and modeling...
October 10, 2016: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28092796/global-open-data-management-in-metabolomics
#11
REVIEW
Kenneth Haug, Reza M Salek, Christoph Steinbeck
Chemical Biology employs chemical synthesis, analytical chemistry and other tools to study biological systems. Recent advances in both molecular biology such as next generation sequencing (NGS) have led to unprecedented insights towards the evolution of organisms' biochemical repertoires. Because of the specific data sharing culture in Genomics, genomes from all kingdoms of life become readily available for further analysis by other researchers. While the genome expresses the potential of an organism to adapt to external influences, the Metabolome presents a molecular phenotype that allows us to asses the external influences under which an organism exists and develops in a dynamic way...
January 13, 2017: Current Opinion in Chemical Biology
https://www.readbyqxmd.com/read/28079771/advanced-research-and-data-methods-in-women-s-health-big-data-analytics-adaptive-studies-and-the-road-ahead
#12
Christian R Macedonia, Clark T Johnson, Indika Rajapakse
Technical advances in science have had broad implications in reproductive and women's health care. Recent innovations in population-level data collection and storage have made available an unprecedented amount of data for analysis while computational technology has evolved to permit processing of data previously thought too dense to study. "Big data" is a term used to describe data that are a combination of dramatically greater volume, complexity, and scale. The number of variables in typical big data research can readily be in the thousands, challenging the limits of traditional research methodologies...
February 2017: Obstetrics and Gynecology
https://www.readbyqxmd.com/read/28075347/sdtcp-towards-datacenter-tcp-congestion-control-with-sdn-for-iot-applications
#13
Yifei Lu, Zhen Ling, Shuhong Zhu, Ling Tang
The Internet of Things (IoT) has gained popularity in recent years. Today's IoT applications are now increasingly deployed in cloud platforms to perform Big Data analytics. In cloud data center networks (DCN), TCP incast usually happens when multiple senders simultaneously communicate with a single receiver. However, when TCP incast happens, DCN may suffer from both throughput collapse for TCP burst flows and temporary starvation for TCP background flows. In this paper, we propose a software defined network (SDN)-based TCP congestion control mechanism, referred to as SDTCP, to leverage the features, e...
January 8, 2017: Sensors
https://www.readbyqxmd.com/read/28057335/big-data-science-a-literature-review-of-nursing-research-exemplars
#14
Bonnie L Westra, Martha Sylvia, Elizabeth F Weinfurter, Lisiane Pruinelli, Jung In Park, Dianna Dodd, Gail M Keenan, Patricia Senk, Rachel L Richesson, Vicki Baukner, Christopher Cruz, Grace Gao, Luann Whittenburg, Connie W Delaney
BACKGROUND: Big data and cutting-edge analytic methods in nursing research challenge nurse scientists to extend the data sources and analytic methods used for discovering and translating knowledge. PURPOSE: The purpose of this study was to identify, analyze, and synthesize exemplars of big data nursing research applied to practice and disseminated in key nursing informatics, general biomedical informatics, and nursing research journals. METHODS: A literature review of studies published between 2009 and 2015...
December 8, 2016: Nursing Outlook
https://www.readbyqxmd.com/read/28049072/educating-the-nurses-of-2025-technology-trends-of-the-next-decade
#15
Tracie Risling
The pace of technological evolution in healthcare is advancing. In this article key technology trends are identified that are likely to influence nursing practice and education over the next decade. The complexity of curricular revision can create challenges in the face of rapid practice change. Nurse educators are encouraged to consider the role of electronic health records (EHRs), wearable technologies, big data and data analytics, and increased patient engagement as key areas for curriculum development. Student nurses, and those already in practice, should be offered ongoing educational opportunities to enhance a wide spectrum of professional informatics skills...
December 21, 2016: Nurse Education in Practice
https://www.readbyqxmd.com/read/28045300/behavioral-and-social-sciences-at-the-national-institutes-of-health-methods-measures-and-data-infrastructures-as-a-scientific-priority
#16
William T Riley
The National Institutes of Health Office of Behavioral and Social Sciences Research (OBSSR) recently released its strategic plan for 2017-2021. This plan focuses on three equally important strategic priorities: 1) improve the synergy of basic and applied behavioral and social sciences research, 2) enhance and promote the research infrastructure, methods, and measures needed to support a more cumulative and integrated approach to behavioral and social sciences research, and 3) facilitate the adoption of behavioral and social sciences research findings in health research and in practice...
January 2017: Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association
https://www.readbyqxmd.com/read/28029117/a-visual-analytics-approach-for-station-based-air-quality-data
#17
Yi Du, Cuixia Ma, Chao Wu, Xiaowei Xu, Yike Guo, Yuanchun Zhou, Jianhui Li
With the deployment of multi-modality and large-scale sensor networks for monitoring air quality, we are now able to collect large and multi-dimensional spatio-temporal datasets. For these sensed data, we present a comprehensive visual analysis approach for air quality analysis. This approach integrates several visual methods, such as map-based views, calendar views, and trends views, to assist the analysis. Among those visual methods, map-based visual methods are used to display the locations of interest, and the calendar and the trends views are used to discover the linear and periodical patterns...
December 24, 2016: Sensors
https://www.readbyqxmd.com/read/28027194/big-data-management-in-us-hospitals-benefits-and-barriers
#18
Chad Schaeffer, Lawrence Booton, Jamey Halleck, Jana Studeny, Alberto Coustasse
Big data has been considered as an effective tool for reducing health care costs by eliminating adverse events and reducing readmissions to hospitals. The purposes of this study were to examine the emergence of big data in the US health care industry, to evaluate a hospital's ability to effectively use complex information, and to predict the potential benefits that hospitals might realize if they are successful in using big data. The findings of the research suggest that there were a number of benefits expected by hospitals when using big data analytics, including cost savings and business intelligence...
January 2017: Health Care Manager
https://www.readbyqxmd.com/read/28018007/online-updating-of-statistical-inference-in-the-big-data-setting
#19
Elizabeth D Schifano, Jing Wu, Chun Wang, Jun Yan, Ming-Hui Chen
We present statistical methods for big data arising from online analytical processing, where large amounts of data arrive in streams and require fast analysis without storage/access to the historical data. In particular, we develop iterative estimating algorithms and statistical inferences for linear models and estimating equations that update as new data arrive. These algorithms are computationally efficient, minimally storage-intensive, and allow for possible rank deficiencies in the subset design matrices due to rare-event covariates...
2016: Technometrics: a Journal of Statistics for the Physical, Chemical, and Engineering Sciences
https://www.readbyqxmd.com/read/27991626/impact-of-distributions-on-the-archetypes-and-prototypes-in-heterogeneous-nanoparticle-ensembles
#20
Michael Fernandez, Hugh F Wilson, Amanda S Barnard
The magnitude and complexity of the structural and functional data available on nanomaterials requires data analytics, statistical analysis and information technology to drive discovery. We demonstrate that multivariate statistical analysis can recognise the sets of truly significant nanostructures and their most relevant properties in heterogeneous ensembles with different probability distributions. The prototypical and archetypal nanostructures of five virtual ensembles of Si quantum dots (SiQDs) with Boltzmann, frequency, normal, Poisson and random distributions are identified using clustering and archetypal analysis, where we find that their diversity is defined by size and shape, regardless of the type of distribution...
December 19, 2016: Nanoscale
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