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https://www.readbyqxmd.com/read/28721807/developing-the-transdisciplinary-aging-research-agenda-new-developments-in-big-data
#1
Christian William Callaghan
In light of dramatic advances in big data analytics and the application of these advances in certain scientific fields, new potentialities exist for breakthroughs in aging research. Translating these new potentialities to research outcomes for aging populations, however, remains a challenge, as underlying technologies which have enabled exponential increases in 'big data' have not yet enabled a commensurate era of 'big knowledge,' or similarly exponential increases in biomedical breakthroughs. Debates also reveal differences in the literature, with some arguing big data analytics heralds a new era associated with the 'end of theory' or which makes the scientific method obsolete, where correlation supercedes causation, whereby science can advance without theory and hypotheses testing...
July 19, 2017: Current Aging Science
https://www.readbyqxmd.com/read/28715407/building-the-biomedical-data-science-workforce
#2
Michelle C Dunn, Philip E Bourne
This article describes efforts at the National Institutes of Health (NIH) from 2013 to 2016 to train a national workforce in biomedical data science. We provide an analysis of the Big Data to Knowledge (BD2K) training program strengths and weaknesses with an eye toward future directions aimed at any funder and potential funding recipient worldwide. The focus is on extramurally funded programs that have a national or international impact rather than the training of NIH staff, which was addressed by the NIH's internal Data Science Workforce Development Center...
July 2017: PLoS Biology
https://www.readbyqxmd.com/read/28711216/national-nursing-science-priorities-creating-a-shared-vision
#3
Patricia Eckardt, Joan M Culley, Elizabeth Corwin, Therese Richmond, Cynthia Dougherty, Rita H Pickler, Cheryl A Krause-Parello, Carol F Roye, Jessica G Rainbow, Holli A DeVon
BACKGROUND: Nursing science is essential to advance population health through contributions at all phases of scientific inquiry. Multiple scientific initiatives important to nursing science overlap in aims and population focus. PURPOSE: This article focused on providing the American Academy of Nursing and nurse scientists in the Unites States with a blueprint of nursing science priorities to inform a shared vision for future collaborations, areas of scientific inquiry, and resource allocation...
June 12, 2017: Nursing Outlook
https://www.readbyqxmd.com/read/28701813/towards-a-new-generation-of-agricultural-system-data-models-and-knowledge-products-information-and-communication-technology
#4
Sander J C Janssen, Cheryl H Porter, Andrew D Moore, Ioannis N Athanasiadis, Ian Foster, James W Jones, John M Antle
Agricultural modeling has long suffered from fragmentation in model implementation. Many models are developed, there is much redundancy, models are often poorly coupled, model component re-use is rare, and it is frequently difficult to apply models to generate real solutions for the agricultural sector. To improve this situation, we argue that an open, self-sustained, and committed community is required to co-develop agricultural models and associated data and tools as a common resource. Such a community can benefit from recent developments in information and communications technology (ICT)...
July 2017: Agricultural Systems
https://www.readbyqxmd.com/read/28690426/graphing-trillions-of-triangles
#5
Paul Burkhardt
The increasing size of Big Data is often heralded but how data are transformed and represented is also profoundly important to knowledge discovery, and this is exemplified in Big Graph analytics. Much attention has been placed on the scale of the input graph but the product of a graph algorithm can be many times larger than the input. This is true for many graph problems, such as listing all triangles in a graph. Enabling scalable graph exploration for Big Graphs requires new approaches to algorithms, architectures, and visual analytics...
July 2017: Information Visualization
https://www.readbyqxmd.com/read/28679894/the-evotion-decision-support-system-utilizing-it-for-public-health-policy-making-in-hearing-loss
#6
Panagiotis Katrakazas, Lyubov Trenkova, Josip Milas, Dario Brdaric, Dimitris Koutsouris
As Decision Support Systems start to play a significant role in decision making, especially in the field of public-health policy making, we present an initial attempt to formulate such a system in the concept of public health policy making for hearing loss related problems. Justification for the system's conceptual architecture and its key functionalities are presented. The introduction of the EVOTION DSS sets a key innovation and a basis for paradigm shift in policymaking, by incorporating relevant models, big data analytics and generic demographic data...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28679877/crowdhealth-holistic-health-records-and-big-data-analytics-for-health-policy-making-and-personalized-health
#7
Dimosthenis Kyriazis, Serge Autexier, Iván Brondino, Michael Boniface, Lucas Donat, Vegard Engen, Rafael Fernandez, Ricardo Jimenez-Peris, Blanca Jordan, Gregor Jurak, Athanasios Kiourtis, Thanos Kosmidis, Mitja Lustrek, Ilias Maglogiannis, John Mantas, Antonio Martinez, Argyro Mavrogiorgou, Andreas Menychtas, Lydia Montandon, Cosmin-Septimiu Nechifor, Sokratis Nifakos, Alexandra Papageorgiou, Marta Patino-Martinez, Manuel Perez, Vassilis Plagianakos, Dalibor Stanimirovic, Gregor Starc, Tanja Tomson, Francesco Torelli, Vicente Traver-Salcedo, George Vassilacopoulos, Usman Wajid
Today's rich digital information environment is characterized by the multitude of data sources providing information that has not yet reached its full potential in eHealth. The aim of the presented approach, namely CrowdHEALTH, is to introduce a new paradigm of Holistic Health Records (HHRs) that include all health determinants. HHRs are transformed into HHRs clusters capturing the clinical, social and human context of population segments and as a result collective knowledge for different factors. The proposed approach also seamlessly integrates big data technologies across the complete data path, providing of Data as a Service (DaaS) to the health ecosystem stakeholders, as well as to policy makers towards a "health in all policies" approach...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28678528/21st-century-toolkit-for-optimizing-population-health-through-precision-nutrition
#8
Aifric O'Sullivan, Bethany Henrick, Bonnie Dixon, Daniela Barile, Angela Zivkovic, Jennifer Smilowitz, Danielle Lemay, William Martin, J Bruce German, Sara Elizabeth Schaefer
Scientific, technological, and economic progress over the last 100 years all but eradicated problems of widespread food shortage and nutrient deficiency in developed nations. But now society is faced with a new set of nutrition problems related to energy imbalance and metabolic disease, which require new kinds of solutions. Recent developments in the area of new analytical tools enable us to systematically study large quantities of detailed and multidimensional metabolic and health data, providing the opportunity to address current nutrition problems through an approach called Precision Nutrition...
July 5, 2017: Critical Reviews in Food Science and Nutrition
https://www.readbyqxmd.com/read/28666387/toolkit-for-the-construction-of-reproducing-kernel-based-representations-of-data-application-to-multidimensional-potential-energy-surfaces
#9
Oliver T Unke, Markus Meuwly
In the early days of computation, slow processor speeds limited the amount of data that could be generated and used for scientific purposes. In the age of big data, the limiting factor usually is the method with which large amounts of data are analyzed and useful information is extracted. A typical example from chemistry are high-level ab initio calculations for small systems, which have nowadays become feasible even if energies at many different geometries are required. Molecular dynamics simulations often require several thousand distinct trajectories to be run...
July 17, 2017: Journal of Chemical Information and Modeling
https://www.readbyqxmd.com/read/28662045/describing-the-performance-of-u-s-hospitals-by-applying-big-data-analytics
#10
Nicholas S Downing, Alexander Cloninger, Arjun K Venkatesh, Angela Hsieh, Elizabeth E Drye, Ronald R Coifman, Harlan M Krumholz
Public reporting of measures of hospital performance is an important component of quality improvement efforts in many countries. However, it can be challenging to provide an overall characterization of hospital performance because there are many measures of quality. In the United States, the Centers for Medicare and Medicaid Services reports over 100 measures that describe various domains of hospital quality, such as outcomes, the patient experience and whether established processes of care are followed. Although individual quality measures provide important insight, it is challenging to understand hospital performance as characterized by multiple quality measures...
2017: PloS One
https://www.readbyqxmd.com/read/28654683/a-data-analysis-framework-for-biomedical-big-data-application-on-mesoderm-differentiation-of-human-pluripotent-stem-cells
#11
Benjamin Ulfenborg, Alexander Karlsson, Maria Riveiro, Caroline Améen, Karolina Åkesson, Christian X Andersson, Peter Sartipy, Jane Synnergren
The development of high-throughput biomolecular technologies has resulted in generation of vast omics data at an unprecedented rate. This is transforming biomedical research into a big data discipline, where the main challenges relate to the analysis and interpretation of data into new biological knowledge. The aim of this study was to develop a framework for biomedical big data analytics, and apply it for analyzing transcriptomics time series data from early differentiation of human pluripotent stem cells towards the mesoderm and cardiac lineages...
2017: PloS One
https://www.readbyqxmd.com/read/28651747/the-rise-of-artificial-intelligence-and-the-uncertain-future-for-physicians
#12
EDITORIAL
C Krittanawong
Physicians in everyday clinical practice are under pressure to innovate faster than ever because of the rapid, exponential growth in healthcare data. "Big data" refers to extremely large data sets that cannot be analyzed or interpreted using traditional data processing methods. In fact, big data itself is meaningless, but processing it offers the promise of unlocking novel insights and accelerating breakthroughs in medicine-which in turn has the potential to transform current clinical practice [1]. Physicians can analyze big data, but at present it requires a large amount of time and sophisticated analytic tools such as supercomputers...
June 23, 2017: European Journal of Internal Medicine
https://www.readbyqxmd.com/read/28641552/a-review-of-the-psychometric-properties-and-use-of-the-rheumatoid-arthritis-quality-of-life-questionnaire-raqol-in-clinical-research
#13
Alice Heaney, Jessica Stepanous, Matthew Rouse, Stephen P McKenna
BACKGROUND: Several patient-reported outcome measures (PROMs) have been used in studies of Rheumatoid Arthritis (RA). Most of these assess health-related quality of life (HRQL). The exception is the Rheumatoid Arthritis Quality of Life questionnaire (RAQoL). This scale measures the impact of RA and its treatment from the patient's perspective, making it suitable for determining the value patients gain from interventions. OBJECTIVE: This review collates literature reporting on the efficacy of the RAQoL as a measure of patient value in clinical studies...
June 14, 2017: Current Rheumatology Reviews
https://www.readbyqxmd.com/read/28641144/impact-of-saccharomyces-cerevisiae-and-torulaspora-delbrueckii-starter-cultures-on-cocoa-beans-fermentation
#14
Simonetta Visintin, Lacerda Ramos, Nara Batista, Paola Dolci, Freitas Schwan, Luca Cocolin
Aim of this work was to study the impact of mixed cultures of Saccharomyces cerevisiae and Torulaspora delbrueckii and T. delbrueckii monoculture on the fermentation process conducted on two different cocoa hybrids, PS1319 and SJ02, in Bahia, Brazil. This was performed throughout studying physico-chemical changes during the fermentation process and analyzing volatile compounds and sensory analysis of chocolates. (GTG)5-PCR fingerprinting was used to type isolates at strain level allowing to assess the implantation of the starter cultures added...
June 7, 2017: International Journal of Food Microbiology
https://www.readbyqxmd.com/read/28625431/fishing-for-answers-in-an-ocean-of-data-the-potential-for-big-data-analytics-to-enhance-our-knowledge-of-the-complex-regional-pain-syndromes
#15
EDITORIAL
Frederick Burgess, Keith Fragoza
No abstract text is available yet for this article.
August 2017: Journal of Clinical Anesthesia
https://www.readbyqxmd.com/read/28614586/identifying-genotypes-and-phenotypes-of-cardiovascular-diseases-using-big-data-analytics
#16
Chayakrit Krittanawong, Takeshi Kitai
No abstract text is available yet for this article.
June 14, 2017: JAMA Cardiology
https://www.readbyqxmd.com/read/28614396/bioinformatic-training-needs-at-a-health-sciences-campus
#17
Jeffrey C Oliver
BACKGROUND: Health sciences research is increasingly focusing on big data applications, such as genomic technologies and precision medicine, to address key issues in human health. These approaches rely on biological data repositories and bioinformatic analyses, both of which are growing rapidly in size and scope. Libraries play a key role in supporting researchers in navigating these and other information resources. METHODS: With the goal of supporting bioinformatics research in the health sciences, the University of Arizona Health Sciences Library established a Bioinformation program...
2017: PloS One
https://www.readbyqxmd.com/read/28582948/the-big-sell-managing-stigma-and-workplace-discrimination-following-moderate-to-severe-brain-injury
#18
Mary Stergiou-Kita, Alisa Grigorovich, Thecla Damianakis, Guylaine Le Dorze, Christine David, Carolyn Lemsky, Debbie Hebert
BACKGROUND: Misperceptions regarding persons with brain injuries (PWBI) can lead to stigmatization, workplace discrimination and, in turn, influence PWBIs full vocational integration. OBJECTIVE: In this study we explored how stigma may influence return-to-work processes, experiences of stigma and discrimination at the workplace for persons with (moderate to severe) brain injuries, and strategies that can be employed to manage disclosure. METHODS: Exploratory qualitative study; used in-depth interviews and an inductive thematic analytical approach in data analysis...
June 1, 2017: Work: a Journal of Prevention, Assessment, and Rehabilitation
https://www.readbyqxmd.com/read/28581814/hybrid-statistical-and-mechanistic-mathematical-model-guides-mobile-health-intervention-for-chronic-pain
#19
Sara M Clifton, Chaeryon Kang, Jingyi Jessica Li, Qi Long, Nirmish Shah, Daniel M Abrams
Nearly a quarter of visits to the emergency department are for conditions that could have been managed via outpatient treatment; improvements that allow patients to quickly recognize and receive appropriate treatment are crucial. The growing popularity of mobile technology creates new opportunities for real-time adaptive medical intervention, and the simultaneous growth of "big data" sources allows for preparation of personalized recommendations. Here we focus on the reduction of chronic suffering in the sickle cell disease (SCD) community...
July 2017: Journal of Computational Biology: a Journal of Computational Molecular Cell Biology
https://www.readbyqxmd.com/read/28561658/more-medicine-fewer-clicks-how-informatics-can-actually-help-your-practice
#20
Debra A Patt, Elmer V Bernstam, Joshua C Mandel, David A Kreda, Jeremy L Warner
In the information age, we expect data systems to make us more effective and efficient-not to make our lives more difficult! In this article, we discuss how we are using data systems, such as electronic health records (EHRs), to improve care delivery. We illustrate how US Oncology is beginning to use real-world evidence to facilitate trial accrual by automatic identification of eligible patients and how big data and predictive analytics will transform the field of oncology. Some information systems are already being used at the point of care and are already empowering clinicians to improve the care of their patients in real time...
2017: American Society of Clinical Oncology Educational Book
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