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https://www.readbyqxmd.com/read/28532632/the-china-kidney-disease-network-ck-net-big-data-big-dreams
#1
EDITORIAL
Rajiv Saran, Diane Steffick, Jennifer Bragg-Gresham
No abstract text is available yet for this article.
June 2017: American Journal of Kidney Diseases: the Official Journal of the National Kidney Foundation
https://www.readbyqxmd.com/read/28529710/introducing-the-brassica-information-portal-towards-integrating-genotypic-and-phenotypic-brassica-crop-data
#2
Annemarie H Eckes, Tomasz Gubała, Piotr Nowakowski, Tomasz Szymczyszyn, Rachel Wells, Judith A Irwin, Carlos Horro, John M Hancock, Graham King, Sarah C Dyer, Wiktor Jurkowski
The Brassica Information Portal (BIP) is a centralised repository for Brassica phenotypic data. Trait data associated with Brassica research and breeding experiments conducted on Brassica crops, used as vegetables, for livestock fodder and biofuels, is hosted on the site, together with information on the experimental plant materials used, as well as trial design. BIP is an open access and open source project, built on the schema of CropStoreDB, and as such can provide trait data management strategies for any crop data...
2017: F1000Research
https://www.readbyqxmd.com/read/28529082/rice-expression-database-red-an-integrated-rna-seq-derived-gene-expression-database-for-rice
#3
Lin Xia, Dong Zou, Jian Sang, Xingjian Xu, Hongyan Yin, Mengwei Li, Shuangyang Wu, Songnian Hu, Lili Hao, Zhang Zhang
Rice is one of the most important stable food as well as a monocotyledonous model organism for the plant research community. Here, we present RED (Rice Expression Database; http://expression.ic4r.org), an integrated database of rice gene expression profiles derived entirely from RNA-Seq data. RED features a comprehensive collection of 284 high-quality RNA-Seq experiments, integrates a large number of gene expression profiles and covers a wide range of rice growth stages as well as various treatments. Based on massive expression profiles, RED provides a list of housekeeping and tissue-specific genes and dynamically constructs co-expression networks for gene(s) of interest...
May 4, 2017: Journal of Genetics and Genomics, Yi Chuan Xue Bao
https://www.readbyqxmd.com/read/28527620/strength-in-numbers-the-limits-of-big-data
#4
EDITORIAL
Victor van Berkel
No abstract text is available yet for this article.
April 28, 2017: Journal of Thoracic and Cardiovascular Surgery
https://www.readbyqxmd.com/read/28525775/the-association-between-systemic-lupus-erythematosus-and-bipolar-disorder%C3%A2-%C3%A2-a-big-data-analysis
#5
S Tiosano, Z Nir, O Gendelman, D Comaneshter, H Amital, A D Cohen, D Amital
BACKGROUND: Systemic lupus erythematosus (SLE) is a chronic, autoimmune disease that has a wide variety of physical manifestations, including neuropsychiatric features. Bipolar disorder (BD) is a chronic, episodic illness, that may present as depression or as mania. The objective of this study was to investigate the association between SLE and BD using big data analysis methods. METHODS: Patients with SLE were compared with age- and sex-matched controls regarding the prevalence of BD in a cross-sectional study...
April 4, 2017: European Psychiatry: the Journal of the Association of European Psychiatrists
https://www.readbyqxmd.com/read/28525769/turning-the-light-on-in-the-phenotypic-drug-discovery-black-box
#6
John G Moffat
In this issue, Drawnel et al. (2017) introduce the concept of a "molecular phenotype" and demonstrate how "big data" coming from gene expression profiling, combined with signaling pathway information, small-molecule chemical information, preclinical animal models, and clinical samples can empower phenotypic discovery at several critical levels.
May 18, 2017: Cell Chemical Biology
https://www.readbyqxmd.com/read/28525400/big-data-in-facial-plastic-and-reconstructive-surgery-from-large-databases-to-registries
#7
Aaron M Smith, Scott R Chaiet
PURPOSE OF REVIEW: There are many limitations to performing clinical research with high levels of evidence in facial plastic and reconstructive surgery (FPRS), such as randomization into surgical groups and sample size recruitment. Therefore, additional avenues for exploring research should be explored using big data, from databases to registries. Other organizations have developed these tools in the evolving landscape of outcomes measurement and value in healthcare, which may serve as models for our specialty...
May 17, 2017: Current Opinion in Otolaryngology & Head and Neck Surgery
https://www.readbyqxmd.com/read/28522388/trends-in-socioeconomic-costs-of-morbid-obesity-among-korean-adults-2009-2013-data-from-national-health-insurance-service
#8
Jae-Woo Lee, Young-Eun Choi, Dong-Wook Kim, Sunmi Lee, Kyung-Hee Cho
As the prevalence of morbid obesity increased in Korea, the estimation of the accurate socioeconomic costs by morbid obesity was required; we analysed national medical costs through the big data. From 2009 year to 2013 year, Direct Costs (DC) for medical costs, transit costs and nursing costs and Indirect Costs (IC) for Future Income Loss (FIL) and Productivity Loss (PL) of morbid obesity (BMI≥30) were calculated, and socioeconomic costs were estimated by applying Population Attributable Risk (PAR) proportion according to obesity related diseases...
May 15, 2017: Obesity Research & Clinical Practice
https://www.readbyqxmd.com/read/28520598/imaging-plus-x-multimodal-models-of-neurodegenerative-disease
#9
Neil P Oxtoby, Daniel C Alexander
PURPOSE OF REVIEW: This article argues that the time is approaching for data-driven disease modelling to take centre stage in the study and management of neurodegenerative disease. The snowstorm of data now available to the clinician defies qualitative evaluation; the heterogeneity of data types complicates integration through traditional statistical methods; and the large datasets becoming available remain far from the big-data sizes necessary for fully data-driven machine-learning approaches...
May 16, 2017: Current Opinion in Neurology
https://www.readbyqxmd.com/read/28514910/value-based-healthcare-measurement-as-a-context-for-organizational-learning
#10
Patrik Nordin, Anna-Aurora Kork, Inka Koskela
Purpose The purpose of this paper is to shed light on the potential of organizational learning for developing effectiveness of care. Value-based healthcare measurement recognizes patient value as a driver for improving health outcomes at the societal and individual levels. By using the action learning method, this paper examines the phases of organizational learning in a private healthcare organization that has developed a novel Big Data screening tool for the treatment of patients with type 2 diabetes mellitus (DM2)...
May 2, 2017: Leadership in Health Services
https://www.readbyqxmd.com/read/28514892/single-case-cognitive-neuropsychology-in-the-age-of-big-data
#11
Jared Medina, Simon Fischer-Baum
Historically, single-case studies of brain-damaged individuals have contributed substantially to our understanding of cognitive processes. However, the role of single-case cognitive neuropsychology has diminished with the proliferation of techniques that measure neural activity in humans. Instead, large-scale informatics approaches in which data are gathered from hundreds of neuroimaging studies have become popular. It has been claimed that utilizing these informatics approaches can address problems found in single imaging studies...
May 17, 2017: Cognitive Neuropsychology
https://www.readbyqxmd.com/read/28510500/using-big-data-to-guide-implementation-of-a-web-and-mobile-adaptive-learning-platform-for-medical-students
#12
Ashwin Menon, Shiv Gaglani, M Ryan Haynes, Sean Tackett
BACKGROUND: Adaptive learning platforms (ALPs) can revolutionize medical education by making learning more efficient, but their potential has not been realized because students do not use them persistently. METHODS: We applied educational data mining methods to study United States medical students who used an ALP called Osmosis ( www.osmosis.org ) from 1 August 2014 to 31 July 2015. Multivariate logistic regressions modeled persistence on Osmosis as the dependent variable and Osmosis-collected variables as predictors...
May 16, 2017: Medical Teacher
https://www.readbyqxmd.com/read/28508806/telemonitoring-and-medical-care-of-heart-failure-patients-supported-by-left-ventricular-assist-devices-the-medolution-project
#13
Nils Reiss, Thomas Schmidt, Frerk Müller-von Aschwege, Wolfgang Thronicke, Jan-Dirk Hoffmann, Jenny Inge Röbesaat, Ezin Deniz, Andreas Hein, Heiko Krumm, Franz-Josef Stewing, Detlev Willemsen, Jan Dieter Schmitto, Christina Feldmann
Long-term survival after left ventricular assist device (LVAD) implantation in heart failure patients is mainly determined by a sophisticated after-care. Ambulatory visits only take place every 12 weeks. In case of life-threatening complications (pump thrombosis, driveline infection) this might lead to delayed diagnosis and delayed intervention. It is the intention of the international project Medolution (Medical care evolution) to develop new approaches in order to create best structures for telemonitoring of LVAD patients...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28508789/propose-of-standards-based-it-architecture-to-enrich-the-value-of-allergy-data-by-telemonitoring-data
#14
Philipp Urbauer, Maximilian Kmenta, Matthias Frohner, Alexander Mense, Stefan Sauermann
Interoperability is a key requirement for any IT-System to be future proof and cost efficient, due to the increasing interaction of IT-Systems in Healthcare. This feasibility study is part of a larger project focusing on the conceptualization and evaluation of interoperable and modular IT-Framework components for exchanging big data information sets. Hence, this project investigates the applicability of a standard based IT-Architecture for the integration of Personal Health Devices data and open data sources...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28507610/improving-patient-safety-in-hospitals-through-usage-of-cloud-supported-video-surveillance
#15
Predrag Dašić, Jovan Dašić, Bojan Crvenković
BACKGROUND: Patient safety in hospitals is of equal importance as providing treatments and urgent healthcare. With the development of Cloud technologies and Big Data analytics, it is possible to employ VSaaS technology virtually anywhere, for any given security purpose. AIM: For the listed benefits, in this paper, we give an overview of the existing cloud surveillance technologies which can be implemented for improving patient safety. MATERIAL AND METHODS: Modern VSaaS systems provide higher elasticity and project scalability in dealing with real-time information processing...
April 15, 2017: Open Access Macedonian Journal of Medical Sciences
https://www.readbyqxmd.com/read/28505393/the-science-behind-one-health-at-the-interface-of-humans-animals-and-the-environment
#16
Michael P Murtaugh, Clifford J Steer, Srinand Sreevatsan, Ned Patterson, Shaun Kennedy, P Sriramarao
Humans face a grand quality-of-life challenge as growing demands for resources for an ever-expanding population threaten the existence of wildlife populations, degrade land, and pollute air and water. Public investment and policy decisions that will shape future interactions of humans, animals, and the environment need scientific input to help find common ground for durable and sustainable success. The Second International Conference on One Medicine One Science brought together a broad range of scientists, trainees, regulatory authorities, and health experts from 34 countries to inform and discuss the human impacts of air quality; the complexities of water quality, access, and conflicts; the opportunities and uncertainties in precision medicine; and the role of science communication in health policy formulation...
May 2017: Annals of the New York Academy of Sciences
https://www.readbyqxmd.com/read/28503788/indicators-of-inappropriate-tumour-marker-use-through-the-mining-of-electronic-health-records
#17
Massimo Gion, Giulia Cardinali, Chiara Trevisiol, Marco Zappa, Giulia Rainato, Aline S C Fabricio
RATIONALE, AIMS, AND OBJECTIVES: Although the issue of monitoring appropriateness of tumour markers (TMs) request in outpatients remains crucial, proper indicators are still demanding. The present study developed and explored indicators of inappropriate TM ordering in outpatients through the data mining of electronic health records (EHRs). METHODS: Carcinoembryonic antigen (CEA), alfa-fetoprotein (AFP), carbohydrate antigen (CA)125, CA15.3, CA19.9, and prostate-specific antigen (PSA) ordered in outpatients during a year were examined by mining EHRs of a Local Health Authority in Italy...
May 15, 2017: Journal of Evaluation in Clinical Practice
https://www.readbyqxmd.com/read/28501646/developing-a-framework-for-digital-objects-in-the-big-data-to-knowledge-bd2k-commons-report-from-the-commons-framework-pilots-workshop
#18
Kathleen M Jagodnik, Simon Koplev, Sherry Jenkins, Lucila Ohno-Machado, Benedict Paten, Stephan C Schurer, Michel Dumontier, Ruben Verborgh, Alex Bui, Peipei Ping, Neil J McKenna, Ravi Madduri, Ajay Pillai, Avi Ma'ayan
The volume and diversity of data in biomedical research has been rapidly increasing in recent years. While such data hold significant promise for accelerating discovery, their use entails many challenges including: the need for adequate computational infrastructure, secure processes for data sharing and access, tools that allow researchers to find and integrate diverse datasets, and standardized methods of analysis. These are just some elements of a complex ecosystem that needs to be built to support the rapid accumulation of these data...
May 10, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28500014/three-dimensional-visual-patient-based-on-electronic-medical-diagnostic-records
#19
Liehang Shi, Jianyong Sun, Yuanyuan Yang, Tonghui Ling, Mingqing Wang, Yiping Gu, Zhiming Yang, Yanqing Hua, Jianguo Zhang
OBJECTIVE: An innovative concept and method is introduced to use a three Dimensional (3D) anatomical graphic pattern called Visual Patient (VP) visually to index, represent and render the medical diagnostic records (MDRs) of a patient, so that a doctor can quickly learn the current and historical medical status of the patient by manipulating VP. The MDRs can be imaging diagnostic reports and DICOM images, laboratory reports and clinical summaries which can have clinical information relating to medical status of human organs or body parts...
May 8, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28498831/dynamics-of-analyst-forecasts-and-emergence-of-complexity-role-of-information-disparity
#20
Chansoo Kim, Daniel S Kim, Kwangwon Ahn, M Y Choi
We report complex phenomena arising among financial analysts, who gather information and generate investment advice, and elucidate them with the help of a theoretical model. Understanding how analysts form their forecasts is important in better understanding the financial market. Carrying out big-data analysis of the analyst forecast data from I/B/E/S for nearly thirty years, we find skew distributions as evidence for emergence of complexity, and show how information asymmetry or disparity affects financial analysts' forming their forecasts...
2017: PloS One
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