keyword
MENU ▼
Read by QxMD icon Read
search

big data analytics

keyword
https://www.readbyqxmd.com/read/28335044/semi-automated-de-identification-of-german-content-sensitive-reports-for-big-data-analytics
#1
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/28333183/machine-learning-algorithms-for-objective-remission-and-clinical-outcomes-with-thiopurines
#2
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/28301733/big-data-analytics-in-chemical-engineering
#3
Leo Chiang, Bo Lu, Ivan Castillo
Big data analytics is the journey to turn data into insights for more informed business and operational decisions. As the chemical engineering community is collecting more data (volume) from different sources (variety), this journey becomes more challenging in terms of using the right data and the right tools (analytics) to make the right decisions in real time (velocity). This article highlights recent big data advancements in five industries, including chemicals, energy, semiconductors, pharmaceuticals, and food, and then discusses technical, platform, and culture challenges...
February 27, 2017: Annual Review of Chemical and Biomolecular Engineering
https://www.readbyqxmd.com/read/28282239/the-role-of-teamwork-in-the-analysis-of-big-data-a-study-of-visual-analytics-and-box-office-prediction
#4
Verica Buchanan, Yafeng Lu, Nathan McNeese, Michael Steptoe, Ross Maciejewski, Nancy Cooke
Historically, domains such as business intelligence would require a single analyst to engage with data, develop a model, answer operational questions, and predict future behaviors. However, as the problems and domains become more complex, organizations are employing teams of analysts to explore and model data to generate knowledge. Furthermore, given the rapid increase in data collection, organizations are struggling to develop practices for intelligence analysis in the era of big data. Currently, a variety of machine learning and data mining techniques are available to model data and to generate insights and predictions, and developments in the field of visual analytics have focused on how to effectively link data mining algorithms with interactive visuals to enable analysts to explore, understand, and interact with data and data models...
March 2017: Big Data
https://www.readbyqxmd.com/read/28280932/bits-and-bytes-the-future-of-radiology-lies-in-informatics-and-information-technology
#5
James A Brink, Ronald L Arenson, Thomas M Grist, Jonathan S Lewin, Dieter Enzmann
Advances in informatics and information technology are sure to alter the practice of medical imaging and image-guided therapies substantially over the next decade. Each element of the imaging continuum will be affected by substantial increases in computing capacity coincident with the seamless integration of digital technology into our society at large. This article focuses primarily on areas where this IT transformation is likely to have a profound effect on the practice of radiology. KEY POINTS: • Clinical decision support ensures consistent and appropriate resource utilization...
March 9, 2017: European Radiology
https://www.readbyqxmd.com/read/28277701/does-personality-predict-health-and-well-being-a-metasynthesis
#6
Jason E Strickhouser, Ethan Zell, Zlatan Krizan
OBJECTIVE: To derive a robust and comprehensive estimate of the overall relation between Big Five personality traits and health variables using metasynthesis (i.e., second-order meta-analysis). METHOD: Thirty-six meta-analyses, which collectively provided 150 meta-analytic effects from over 500,000 participants, met criteria for inclusion in the metasynthesis. Information on methodological quality as well as the type of health outcome, unreliability adjustment, population sampled, health outcome source, personality source, and research design was extracted from each meta-analysis...
March 9, 2017: Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association
https://www.readbyqxmd.com/read/28273915/big-data-analyses-reveal-patterns-and-drivers-of-the-movements-of-southern-elephant-seals
#7
Jorge P Rodríguez, Juan Fernández-Gracia, Michele Thums, Mark A Hindell, Ana M M Sequeira, Mark G Meekan, Daniel P Costa, Christophe Guinet, Robert G Harcourt, Clive R McMahon, Monica Muelbert, Carlos M Duarte, Víctor M Eguíluz
The growing number of large databases of animal tracking provides an opportunity for analyses of movement patterns at the scales of populations and even species. We used analytical approaches, developed to cope with "big data", that require no 'a priori' assumptions about the behaviour of the target agents, to analyse a pooled tracking dataset of 272 elephant seals (Mirounga leonina) in the Southern Ocean, that was comprised of >500,000 location estimates collected over more than a decade. Our analyses showed that the displacements of these seals were described by a truncated power law distribution across several spatial and temporal scales, with a clear signature of directed movement...
December 2017: Scientific Reports
https://www.readbyqxmd.com/read/28260579/annals-and-analytics-the-practice-of-history-in-the-age-of-big-data
#8
A R Ruis, David Williamson Shaffer
No abstract text is available yet for this article.
April 2017: Medical History
https://www.readbyqxmd.com/read/28252576/apoa5-gene-polymorphisms-and-cardiovascular-diseases-metaprediction-in-global-populations
#9
Yen-Chun Lin, Veronica Nunez, Robin Johns, S Pamela K Shiao
BACKGROUND: Apolipoprotein A5 (APOA5) 1131 is one of the most investigated gene polymorphisms in association with cardiovascular diseases (CVD) for its roles in epigenetics pathways. OBJECTIVES: The major objective of this metaprediction study was to comprehensively examine the association of polymorphism risk subtypes of APOA5 1131 gene and potential contributing factors of CVD risks in global populations. METHODS: This study is a meta-analysis to determine APOA5 gene polymorphisms as risk factors for CVDs...
March 2017: Nursing Research
https://www.readbyqxmd.com/read/28243157/big-data-in-sleep-medicine-prospects-and-pitfalls-in-phenotyping
#10
Matt T Bianchi, Kathryn Russo, Harriett Gabbidon, Tiaundra Smith, Balaji Goparaju, M Brandon Westover
Clinical polysomnography (PSG) databases are a rich resource in the era of "big data" analytics. We explore the uses and potential pitfalls of clinical data mining of PSG using statistical principles and analysis of clinical data from our sleep center. We performed retrospective analysis of self-reported and objective PSG data from adults who underwent overnight PSG (diagnostic tests, n=1835). Self-reported symptoms overlapped markedly between the two most common categories, insomnia and sleep apnea, with the majority reporting symptoms of both disorders...
2017: Nature and Science of Sleep
https://www.readbyqxmd.com/read/28225443/bringing-big-data-to-the-forefront-of-healthcare-delivery-the-experience-of-carolinas-healthcare-system
#11
Michael F Dulin, Carol A Lovin, Jean A Wright
The use of big data to transform care delivery is rapidly becoming a reality. To deliver on the promise of value-based care, providers must know the key drivers of wellness at the patient and community levels, as well as understand resource constraints and opportunities to improve efficiency in the health-care system itself. Data are the linchpin. By gathering the right data and finding innovative ways to glean knowledge, we can improve clinical care, advance the health of our communities, improve the lives of our patients, and operate more efficiently...
January 2017: Frontiers of Health Services Management
https://www.readbyqxmd.com/read/28212287/big-data-analytics-for-genomic-medicine
#12
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
#13
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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"