keyword
MENU ▼
Read by QxMD icon Read
search

big data analytics

keyword
https://www.readbyqxmd.com/read/28092796/global-open-data-management-in-metabolomics
#1
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
#2
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...
January 9, 2017: Obstetrics and Gynecology
https://www.readbyqxmd.com/read/28075347/sdtcp-towards-datacenter-tcp-congestion-control-with-sdn-for-iot-applications
#3
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
#4
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
#5
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
#6
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
#7
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
#8
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...
December 23, 2016: Health Care Manager
https://www.readbyqxmd.com/read/28018007/online-updating-of-statistical-inference-in-the-big-data-setting
#9
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
#10
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
https://www.readbyqxmd.com/read/27972370/is-big-data-in-healthcare-about-big-hope-or-big-hype-early-health-technology-assessment-of-big-data-analytics-in-healthcare
#11
L J Bakker, J Aarts, W K Redekop
No abstract text is available yet for this article.
November 2016: Value in Health: the Journal of the International Society for Pharmacoeconomics and Outcomes Research
https://www.readbyqxmd.com/read/27951668/assessing-the-accuracy-of-across-the-scale-methods-for-predicting-carbohydrate-conformational-energies-for-the-examples-of-glucose-and-%C3%AE-maltose
#12
Mateusz Marianski, Adriana Supady, Teresa Ingram, Markus Schneider, Carsten Baldauf
A big hurdle when entering the field of carbohydrate research stems from the complications in the analytical and computational treatment. In effect, this extremely important class of biomolecules remains underinvestigated when compared, for example, with the maturity of genomics and proteomics research. On the theory side, the commonly used empirical methods suffer from an insufficient amount of high-quality experimental data against which they can be thoroughly validated. In order to provide a pivotal point for an ascent of accurate carbohydrate simulations, we present here a structure/energy benchmark set of diverse glucose (in three isomeric forms) and α-maltose conformations at the coupled-cluster level as well as an assessment of commonly used energy functions...
December 13, 2016: Journal of Chemical Theory and Computation
https://www.readbyqxmd.com/read/27918664/modern-techniques-and-technologies-applied-to-training-and-performance-monitoring
#13
William A Sands, Ashley A Kavanaugh, Steven R Murray, Jeni R McNeal, Monèm Jemni
Athlete preparation and performance continues to increase in complexity and costs. Modern coaches are shifting from reliance on personal memory, experience, and opinion to evidence from collected training load data. Training load monitoring may hold vital information for developing systems of monitoring that follow the training process with such precision that both performance prediction and day-to-day management of training become an adjunct to preparation and performance. Time series data collection and analyses in sport are still in their infancy with considerable efforts being applied in "big-data" analytics and models of the appropriate variables to monitor and methods for doing so...
December 5, 2016: International Journal of Sports Physiology and Performance
https://www.readbyqxmd.com/read/27918178/a-practical-guide-to-big-data-research-in-psychology
#14
Eric Evan Chen, Sean P Wojcik
The massive volume of data that now covers a wide variety of human behaviors offers researchers in psychology an unprecedented opportunity to conduct innovative theory- and data-driven field research. This article is a practical guide to conducting big data research, covering data management, acquisition, processing, and analytics (including key supervised and unsupervised learning data mining methods). It is accompanied by walkthrough tutorials on data acquisition, text analysis with latent Dirichlet allocation topic modeling, and classification with support vector machines...
December 2016: Psychological Methods
https://www.readbyqxmd.com/read/27873357/use-of-big-data-for-drug-development-and-for-public-and-personal-health-and-care
#15
Lada Leyens, Matthias Reumann, Nuria Malats, Angela Brand
The use of data analytics across the entire healthcare value chain, from drug discovery and development through epidemiology to informed clinical decision for patients or policy making for public health, has seen an explosion in the recent years. The increase in quantity and variety of data available together with the improvement of storing capabilities and analytical tools offer numerous possibilities to all stakeholders (manufacturers, regulators, payers, healthcare providers, decision makers, researchers) but most importantly, it has the potential to improve general health outcomes if we learn how to exploit it in the right way...
January 2017: Genetic Epidemiology
https://www.readbyqxmd.com/read/27872036/challenges-and-opportunities-of-big-data-in-health-care-a-systematic-review
#16
REVIEW
Clemens Scott Kruse, Rishi Goswamy, Yesha Raval, Sarah Marawi
BACKGROUND: Big data analytics offers promise in many business sectors, and health care is looking at big data to provide answers to many age-related issues, particularly dementia and chronic disease management. OBJECTIVE: The purpose of this review was to summarize the challenges faced by big data analytics and the opportunities that big data opens in health care. METHODS: A total of 3 searches were performed for publications between January 1, 2010 and January 1, 2016 (PubMed/MEDLINE, CINAHL, and Google Scholar), and an assessment was made on content germane to big data in health care...
November 21, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27862002/distributed-data-networks-a-blueprint-for-big-data-sharing-and-healthcare-analytics
#17
Jennifer R Popovic
This paper defines the attributes of distributed data networks and outlines the data and analytic infrastructure needed to build and maintain a successful network. We use examples from one successful implementation of a large-scale, multisite, healthcare-related distributed data network, the U.S. Food and Drug Administration-sponsored Sentinel Initiative. Analytic infrastructure-development concepts are discussed from the perspective of promoting six pillars of analytic infrastructure: consistency, reusability, flexibility, scalability, transparency, and reproducibility...
November 18, 2016: Annals of the New York Academy of Sciences
https://www.readbyqxmd.com/read/27848978/the-impact-of-heterogeneity-and-awareness-in-modeling-epidemic-spreading-on-multiplex-networks
#18
Marialisa Scatà, Alessandro Di Stefano, Pietro Liò, Aurelio La Corte
In the real world, dynamic processes involving human beings are not disjoint. To capture the real complexity of such dynamics, we propose a novel model of the coevolution of epidemic and awareness spreading processes on a multiplex network, also introducing a preventive isolation strategy. Our aim is to evaluate and quantify the joint impact of heterogeneity and awareness, under different socioeconomic conditions. Considering, as case study, an emerging public health threat, Zika virus, we introduce a data-driven analysis by exploiting multiple sources and different types of data, ranging from Big Five personality traits to Google Trends, related to different world countries where there is an ongoing epidemic outbreak...
November 16, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27830253/clinical-research-informatics-for-big-data-and-precision-medicine
#19
C Weng, M G Kahn
OBJECTIVES: To reflect on the notable events and significant developments in Clinical Research Informatics (CRI) in the year of 2015 and discuss near-term trends impacting CRI. METHODS: We selected key publications that highlight not only important recent advances in CRI but also notable events likely to have significant impact on CRI activities over the next few years or longer, and consulted the discussions in relevant scientific communities and an online living textbook for modern clinical trials...
November 10, 2016: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/27827859/precision-health-economics-and-outcomes-research-to-support-precision-medicine-big-data-meets-patient-heterogeneity-on-the-road-to-value
#20
Yixi Chen, Gregory F Guzauskas, Chengming Gu, Bruce C M Wang, Wesley E Furnback, Guotong Xie, Peng Dong, Louis P Garrison
The "big data" era represents an exciting opportunity to utilize powerful new sources of information to reduce clinical and health economic uncertainty on an individual patient level. In turn, health economic outcomes research (HEOR) practices will need to evolve to accommodate individual patient-level HEOR analyses. We propose the concept of "precision HEOR", which utilizes a combination of costs and outcomes derived from big data to inform healthcare decision-making that is tailored to highly specific patient clusters or individuals...
November 2, 2016: Journal of Personalized Medicine
keyword
keyword
118677
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"