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https://www.readbyqxmd.com/read/28227170/big-data-challenges-in-decoding-cortical-activity-in-a-human-with-quadriplegia-to-inform-a-brain-computer-interface
#1
David A Friedenberg, Chad E Bouton, Nicholas V Annetta, Nicholas Skomrock, Mingming Zhang, Michael Schwemmer, Marcia A Bockbrader, W Jerry Mysiw, Ali R Rezai, Herbert S Bresler, Gaurav Sharma, David A Friedenberg, Chad E Bouton, Nicholas V Annetta, Nicholas Skomrock, Mingming Zhang, Michael Schwemmer, Marcia A Bockbrader, W Jerry Mysiw, Ali R Rezai, Herbert S Bresler, Gaurav Sharma, Nicholas Skomrock, David A Friedenberg, Marcia A Bockbrader, Chad E Bouton, Ali R Rezai, Mingming Zhang, Herbert S Bresler, Gaurav Sharma, W Jerry Mysiw, Nicholas V Annetta, Michael Schwemmer
Recent advances in Brain Computer Interfaces (BCIs) have created hope that one day paralyzed patients will be able to regain control of their paralyzed limbs. As part of an ongoing clinical study, we have implanted a 96-electrode Utah array in the motor cortex of a paralyzed human. The array generates almost 3 million data points from the brain every second. This presents several big data challenges towards developing algorithms that should not only process the data in real-time (for the BCI to be responsive) but are also robust to temporal variations and non-stationarities in the sensor data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227143/csdc-a-nationwide-screening-platform-for-stroke-control-and-prevention-in-china
#2
Jinghui Yu, Huajian Mao, Mei Li, Dan Ye, Dongsheng Zhao, Jinghui Yu, Huajian Mao, Mei Li, Dan Ye, Dongsheng Zhao, Dan Ye, Huajian Mao, Mei Li, Dongsheng Zhao, Jinghui Yu
As a leading cause of severe disability and death, stroke places an enormous burden on Chinese society. A nationwide stroke screening platform called CSDC (China Stoke Data Center) has been built to support the national stroke prevention program and stroke clinical research since 2011. This platform is composed of a data integration system and a big data analysis system. The data integration system is used to collect information on risk factors, diagnosis history, treatment, and sociodemographic characteristics and stroke patients' EMR...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227139/on-efficient-meta-filtering-of-big-data
#3
Keith Dillon, Yu-Ping Wang, Keith Dillon, Yu-Ping Wang, Yu-Ping Wang, Keith Dillon
There is an explosion in the number of new approaches being developed for extracting information from biological data, creating a need for intelligent ways to utilize so many methods. We take a perspective based on viewing methods as filters which reject undesired data and which may have complementary and redundant performance. We consider approaches for efficiently combining such filters. We provide quantitative strategies for choosing which filters to use and the best order to apply them, based on viewing each filter as a coordinate transformation on performance metrics...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226351/-significance-and-contemplation-of-clinical-diagnosis-and-therapy-on-the-renewal-of-the-eighth-edition-of-gastric-cancer-tnm-staging-system
#4
Hongqing Xi, Kecheng Zhang, Bo Wei, Lin Chen
TNM staging is essential for clinical decision-making and prognostic prediction for patients with gastric cancer. The 7th TNM staging manual was formulated in 2009 and implemented in 2010. However, it was published that there were some deficiencies of the 7th edition of gastric cancer TNM staging system in clinical application process, and this old staging system could not meet the clinical needs. With the cooperation and promotion of the American Joint Committee on Cancer (AJCC), the International Union for Cancer Control (UICC) and the International Gastric Cancer Association (IGCA), and through the accumulation and analysis of gastric cancer big data, the 8th TNM staging system was published at the end of 2016...
February 25, 2017: Zhonghua Wei Chang Wai Ke za Zhi, Chinese Journal of Gastrointestinal Surgery
https://www.readbyqxmd.com/read/28225443/bringing-big-data-to-the-forefront-of-healthcare-delivery-the-experience-of-carolinas-healthcare-system
#5
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/28225441/big-data-more-than-just-big-and-more-than-just-data
#6
Gregory A Spencer
According to an report, 90 percent of the data in the world today were created in the past two years. This statistic is not surprising given the explosion of mobile phones and other devices that generate data, the Internet of Things (e.g., smart refrigerators), and metadata (data about data). While it might be a stretch to figure out how a healthcare organization can use data generated from an ice maker, data from a plethora of rich and useful sources, when combined with an organization's own data, can produce improved results...
January 2017: Frontiers of Health Services Management
https://www.readbyqxmd.com/read/28225431/menopause-and-big-data-word-adjacency-graph-modeling-of-menopause-related-chacha-data
#7
Janet S Carpenter, Doyle Groves, Chen X Chen, Julie L Otte, Wendy R Miller
OBJECTIVE: To detect and visualize salient queries about menopause using Big Data from ChaCha. METHODS: We used Word Adjacency Graph (WAG) modeling to detect clusters and visualize the range of menopause-related topics and their mutual proximity. The subset of relevant queries was fully modeled. We split each query into token words (ie, meaningful words and phrases) and removed stopwords (ie, not meaningful functional words). The remaining words were considered in sequence to build summary tables of words and two and three-word phrases...
February 20, 2017: Menopause: the Journal of the North American Menopause Society
https://www.readbyqxmd.com/read/28224398/development-of-imaging-biomarkers-and-generation-of-big-data
#8
Ángel Alberich-Bayarri, Rafael Hernández-Navarro, Enrique Ruiz-Martínez, Fabio García-Castro, David García-Juan, Luis Martí-Bonmatí
Several image processing algorithms have emerged to cover unmet clinical needs but their application to radiological routine with a clear clinical impact is still not straightforward. Moving from local to big infrastructures, such as Medical Imaging Biobanks (millions of studies), or even more, Federations of Medical Imaging Biobanks (in some cases totaling to hundreds of millions of studies) require the integration of automated pipelines for fast analysis of pooled data to extract clinically relevant conclusions, not uniquely linked to medical imaging, but in combination to other information such as genetic profiling...
February 21, 2017: La Radiologia Medica
https://www.readbyqxmd.com/read/28222128/what-do-sales-data-tell-us-about-implant-survival
#9
Rudolf Seemann, Alexander Jirku, Florian Wagner, Arno Wutzl
OBJECTIVE: The aim of this study was to evaluate the influence of implant diameter, length and shape on a surrogate parameter of implant survival; i.e. the implant return rate in a big data analysis. MATERIALS AND METHODS: A retrospective study was conducted and the factors influencing the success rates of 69,377 sold implants over a seven-year period were evaluated. The osseointegration program of a reseller provides reliable data of a single country. Implant loss rates were investigated using logistic regression models and regressed by implant type, diameter, and length...
2017: PloS One
https://www.readbyqxmd.com/read/28220955/profiles-of-adolescent-religiousness-using-latent-profile-analysis-implications-for-psychopathology
#10
Gregory S Longo, Bethany C Bray, Jungmeen Kim-Spoon
Prior research has documented robust associations between adolescent religiousness/spirituality (R/S) and psychopathology outcomes including externalizing and internalizing symptomatology, yet no previous studies have examined these associations with adolescent R/S profiles using a person-centred approach. We examined whether there are identifiable subgroups characterized by unique multidimensional patterns of R/S experiences and how these experiences may be related to externalizing and internalizing symptomatology...
March 2017: British Journal of Developmental Psychology
https://www.readbyqxmd.com/read/28215665/11-years-follow-up-of-trastuzumab-after-adjuvant-chemotherapy-in-her2-positive-early-breast-cancer-final-analysis-of-the-herceptin-adjuvant-hera-trial
#11
David Cameron, Martine J Piccart-Gebhart, Richard D Gelber, Marion Procter, Aron Goldhirsch, Evandro de Azambuja, Gilberto Castro, Michael Untch, Ian Smith, Luca Gianni, Jose Baselga, Nedal Al-Sakaff, Sabine Lauer, Eleanor McFadden, Brian Leyland-Jones, Richard Bell, Mitch Dowsett, Christian Jackisch
BACKGROUND: Clinical trials have shown that trastuzumab, a recombinant monoclonal antibody against HER2 receptor, significantly improves overall survival and disease-free survival in women with HER2-positive early breast cancer, but long-term follow-up data are needed. We report the results of comparing observation with two durations of trastuzumab treatment at a median follow-up of 11 years, for patients enrolled in the HERA (HERceptin Adjuvant) trial. METHODS: HERA (BIG 1-01) is an international, multicentre, open-label, phase 3 randomised trial of 5102 women with HER2-positive early breast cancer, who were enrolled from hospitals in 39 countries between Dec 7, 2001, and June 20, 2005...
February 16, 2017: Lancet
https://www.readbyqxmd.com/read/28214562/leveraging-health-informatics-to-a-foster-smart-systems-response-to-health-disparities-and-health-equity-challenges
#12
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
#13
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/28212897/representing-composed-meanings-through-temporal-binding
#14
Hugh Rabagliati, Leonidas A A Doumas, Douglas K Bemis
A key feature of human thought and language is compositionality, the ability to bind pre-existing concepts or word meanings together in order to express new ideas. Here we ask how newly composed complex concepts are mentally represented and matched to the outside world, by testing whether it is harder to verify if a picture matches the meaning of a phrase, like big pink tree, than the meaning of a single word, like tree. Five sentence-picture verification experiments provide evidence that, in fact, the meaning of a phrase can often be checked just as fast as the meaning of one single word (and sometimes faster), indicating that the phrase's constituent concepts can be represented and checked in parallel...
February 14, 2017: Cognition
https://www.readbyqxmd.com/read/28212287/big-data-analytics-for-genomic-medicine
#15
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
#16
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
#17
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/28211732/time-reversal-measurement-of-the-p-wave-cross-sections-of-the-7-be-n-%C3%AE-4-he-reaction-for-the-cosmological-li-problem
#18
T Kawabata, Y Fujikawa, T Furuno, T Goto, T Hashimoto, M Ichikawa, M Itoh, N Iwasa, Y Kanada-En'yo, A Koshikawa, S Kubono, E Miyawaki, M Mizuno, K Mizutani, T Morimoto, M Murata, T Nanamura, S Nishimura, S Okamoto, Y Sakaguchi, I Sakata, A Sakaue, R Sawada, Y Shikata, Y Takahashi, D Takechi, T Takeda, C Takimoto, M Tsumura, K Watanabe, S Yoshida
The cross sections of the ^{7}Be(n,α)^{4}He reaction for p-wave neutrons were experimentally determined at E_{c.m.}=0.20-0.81  MeV slightly above the big bang nucleosynthesis (BBN) energy window for the first time on the basis of the detailed balance principle by measuring the time-reverse reaction. The obtained cross sections are much larger than the cross sections for s-wave neutrons inferred from the recent measurement at the n_TOF facility in CERN, but significantly smaller than the theoretical estimation widely used in the BBN calculations...
February 3, 2017: Physical Review Letters
https://www.readbyqxmd.com/read/28209228/big-data-health-informatics-and-the-future-of-cardiovascular-medicine
#19
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
#20
Philip N Howard, Gillian Bolsover
No abstract text is available yet for this article.
February 16, 2017: Big Data
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