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https://www.readbyqxmd.com/read/28214562/leveraging-health-informatics-to-a-foster-smart-systems-response-to-health-disparities-and-health-equity-challenges
#1
Timothy Jay Carney, Amanda Y Kong
Informaticians are challenged to design health IT solutions for complex problems like health disparities but are only achieving mixed results in demonstrating a direct impact on health outcomes. This presentation of collective intelligence and the corresponding terms of smart health, knowledge ecosystem, enhanced health disparities informatics capacities, knowledge exchange, big-data, and situational awareness are means of demonstrating the complex challenges informatics professional face in trying to model, measure, and manage an intelligence and a smart systems response to health disparities...
February 15, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28212968/-what-goes-around-comes-around-lessons-learned-from-economic-evaluations-of-personalized-medicine-applied-to-digital-medicine
#2
Kathryn A Phillips, Michael P Douglas, Julia R Trosman, Deborah A Marshall
BACKGROUND: The growth of "big data" and the emphasis on patient-centered health care have led to the increasing use of two key technologies: personalized medicine and digital medicine. For these technologies to move into mainstream health care and be reimbursed by insurers, it will be essential to have evidence that their benefits provide reasonable value relative to their costs. These technologies, however, have complex characteristics that present challenges to the assessment of their economic value...
January 2017: Value in Health: the Journal of the International Society for Pharmacoeconomics and Outcomes Research
https://www.readbyqxmd.com/read/28212287/big-data-analytics-for-genomic-medicine
#3
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
#4
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/28212074/a-review-of-in-body-biotelemetry-devices-implantables-ingestibles-and-injectables
#5
Asimina Kiourti, Konstantina S Nikita
: We present a review of wireless medical devices that are placed inside the human body to realize many and different sensing and/or stimulating functionalities. METHODS: A critical literature review analysis is conducted focusing on three types of in-body medical devices, i.e., a) devices that are implanted inside the human body (implantables), b) devices that are ingested like regular pills (ingestibles), and c) devices that are injected into the human body via needles (injectables)...
February 14, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28209228/big-data-health-informatics-and-the-future-of-cardiovascular-medicine
#6
EDITORIAL
Joonseok Kim
No abstract text is available yet for this article.
February 21, 2017: Journal of the American College of Cardiology
https://www.readbyqxmd.com/read/28207289/call-for-papers-special-issue-on-computational-propaganda-and-political-big-data
#7
Philip N Howard, Gillian Bolsover
No abstract text is available yet for this article.
February 16, 2017: Big Data
https://www.readbyqxmd.com/read/28204592/tetools-facilitates-big-data-expression-analysis-of-transposable-elements-and-reveals-an-antagonism-between-their-activity-and-that-of-pirna-genes
#8
Emmanuelle Lerat, Marie Fablet, Laurent Modolo, Hélène Lopez-Maestre, Cristina Vieira
No abstract text is available yet for this article.
February 28, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28195583/longitudinal-test-retest-neuroimaging-data-from-healthy-young-adults-in-southwest-china
#9
Wei Liu, Dongtao Wei, Qunlin Chen, Wenjing Yang, Jie Meng, Guorong Wu, Taiyong Bi, Qinglin Zhang, Xi-Nian Zuo, Jiang Qiu
Multimodal magnetic resonance imaging (mMRI) has been widely used to map the structure and function of the human brain, as well as its behavioral associations. However, to date, a large sample with a long-term longitudinal design and a narrow age-span has been lacking for the assessment of test-retest reliability and reproducibility of brain-behavior correlations, as well as the development of novel causal insights into these correlational findings. Here we describe the SLIM dataset, which includes brain and behavioral data across a long-term retest-duration within three and a half years, mMRI scans provided a set of structural, diffusion and resting-state functional MRI images, along with rich samples of behavioral assessments addressed-demographic, cognitive and emotional information...
February 14, 2017: Scientific Data
https://www.readbyqxmd.com/read/28192208/atrial-fibrillation-ablation-stroke-and-mortality-evaluating-the-effects-of-therapy-in-the-era-of-big-data
#10
EDITORIAL
Steven J Kalbfleisch
No abstract text is available yet for this article.
February 9, 2017: Heart Rhythm: the Official Journal of the Heart Rhythm Society
https://www.readbyqxmd.com/read/28187426/clustering-of-biological-datasets-in-the-era-of-big-data
#11
Richard Röttger
Clustering is a long-standing problem in computer science and is applied in virtually any scientific field for exploring the inherent structure of datasets. In biomedical research, clustering tools have been utilized in manifold areas, among many others in expression analysis, disease subtyping or protein research. A plethora of different approaches have been developed but there is only little guideline what approach is the optimal in what particular situation. Furthermore, a typical cluster analysis is an entire process with several highly interconnected steps; from preprocessing, proximity calculation, the actual clustering to evaluation and optimization...
December 22, 2016: Journal of Integrative Bioinformatics
https://www.readbyqxmd.com/read/28186006/what-we-can-learn-from-amazon-for-clinical-decision-support-systems
#12
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
#13
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/28177274/data-more-data-big-data
#14
Jos J de Koning
No abstract text is available yet for this article.
January 2017: International Journal of Sports Physiology and Performance
https://www.readbyqxmd.com/read/28168018/irbas-an-online-database-to-collate-analyze-and-synthesize-data-on-the-biodiversity-and-ecology-of-intermittent-rivers-worldwide
#15
Catherine Leigh, Baptiste Laporte, Núria Bonada, Ken Fritz, Hervé Pella, Eric Sauquet, Klement Tockner, Thibault Datry
Key questions dominating contemporary ecological research and management concern interactions between biodiversity, ecosystem processes, and ecosystem services provision in the face of global change. This is particularly salient for freshwater biodiversity and in the context of river drying and flow-regime change. Rivers that stop flowing and dry, herein intermittent rivers, are globally prevalent and dynamic ecosystems on which the body of research is expanding rapidly, consistent with the era of big data...
February 2017: Ecology and Evolution
https://www.readbyqxmd.com/read/28163155/next-generation-sequencing-big-data-meets-high-performance-computing
#16
REVIEW
Bertil Schmidt, Andreas Hildebrandt
The progress of next-generation sequencing has a major impact on medical and genomic research. This high-throughput technology can now produce billions of short DNA or RNA fragments in excess of a few terabytes of data in a single run. This leads to massive datasets used by a wide range of applications including personalized cancer treatment and precision medicine. In addition to the hugely increased throughput, the cost of using high-throughput technologies has been dramatically decreasing. A low sequencing cost of around US$1000 per genome has now rendered large population-scale projects feasible...
February 2, 2017: Drug Discovery Today
https://www.readbyqxmd.com/read/28162772/the-ecology-of-human-mobility
#17
REVIEW
Mark G Meekan, Carlos M Duarte, Juan Fernández-Gracia, Michele Thums, Ana M M Sequeira, Rob Harcourt, Víctor M Eguíluz
Mobile phones and other geolocated devices have produced unprecedented volumes of data on human movement. Analysis of pooled individual human trajectories using big data approaches has revealed a wealth of emergent features that have ecological parallels in animals across a diverse array of phenomena including commuting, epidemics, the spread of innovations and culture, and collective behaviour. Movement ecology, which explores how animals cope with and optimize variability in resources, has the potential to provide a theoretical framework to aid an understanding of human mobility and its impacts on ecosystems...
February 2, 2017: Trends in Ecology & Evolution
https://www.readbyqxmd.com/read/28162205/-calm-thinking-for-precision-medicine-of-breast-cancer-in-the-boom
#18
Z F Jiang, F R Xu
In the past two years, researchers have been exploring the precision medicine. Thanks to the development of sequence industry and clinical study, the big data about the precision medicine have been more and more sufficient. However, how to deal with the precision data is still a question for clinicians. We focus on the hot issues that disturb clinicians most, wanting to help them to make suitable decisions between the traditional and precision medicine of breast cancer. We believe the precision medicine is on the way...
February 1, 2017: Zhonghua Wai Ke za Zhi [Chinese Journal of Surgery]
https://www.readbyqxmd.com/read/28162151/-expert-forums-treatment-decisions-in-precision-medicine-the-big-data-and-small-random
#19
F R Xu, Z F Jiang
No abstract text is available yet for this article.
January 24, 2017: Zhonghua Yi Xue za Zhi [Chinese medical journal]
https://www.readbyqxmd.com/read/28162030/infodemiology-of-systemic-lupus-erythematous-using-google-trends
#20
M Radin, S Sciascia
Objective People affected by chronic rheumatic conditions, such as systemic lupus erythematosus (SLE), frequently rely on the Internet and search engines to look for terms related to their disease and its possible causes, symptoms and treatments. 'Infodemiology' and 'infoveillance' are two recent terms created to describe a new developing approach for public health, based on Big Data monitoring and data mining. In this study, we aim to investigate trends of Internet research linked to SLE and symptoms associated with the disease, applying a Big Data monitoring approach...
January 1, 2017: Lupus
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