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PubMed Journals Articles About "Implementing Culture Driven Data Analytics Approach Support Tech" RSS

16:31 EDT 20th August 2018 | BioPortfolio

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Showing "Implementing Culture Driven Data Analytics Approach Support Tech" PubMed Articles 1–25 of 43,000+

Big Data Analytics in Medicine and Healthcare.

This paper surveys big data with highlighting the big data analytics in medicine and healthcare. Big data characteristics: value, volume, velocity, variety, veracity and variability are described. Big data analytics in medicine and healthcare covers integration and analysis of large amount of complex heterogeneous data such as various - omics data (genomics, epigenomics, transcriptomics, proteomics, metabolomics, interactomics, pharmacogenomics, diseasomics), biomedical data and electronic health records da...


A visual analytics approach for pattern-recognition in patient-generated data.

To develop and test a visual analytics tool to help clinicians identify systematic and clinically meaningful patterns in patient-generated data (PGD) while decreasing perceived information overload.

Special Issue on Profit-Driven Analytics.


Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field.

Five years after the first state-of-the-art report on Commercial Visual Analytics Systems we present a reevaluation of the Big Data Analytics field. We build on the success of the 2012 survey, which was influential even beyond the boundaries of the InfoVis and Visual Analytics (VA) community. While the field has matured significantly since the original survey, we find that innovation and research-driven development are increasingly sacrificed to satisfy a wide range of user groups. We evaluate new product v...

Profit-Based Model Selection for Customer Retention Using Individual Customer Lifetime Values.

The goal of customer retention campaigns, by design, is to add value and enhance the operational efficiency of businesses. For organizations that strive to retain their customers in saturated, and sometimes fast moving, markets such as the telecommunication and banking industries, implementing customer churn prediction models that perform well and in accordance with the business goals is vital. The expected maximum profit (EMP) measure is tailored toward this problem by taking into account the costs and ben...

Platform for Automated Real-Time High Performance Analytics on Medical Image Data.

Biomedical data are quickly growing in volume and in variety, providing clinicians an opportunity for better clinical decision support. Here, we demonstrate a robust platform that uses software automation and high performance computing (HPC) resources to achieve real-time analytics of clinical data, specifically magnetic resonance imaging (MRI) data. We used the Agave application programming interface to facilitate communication, data transfer, and job control between an MRI scanner and an off-site HPC reso...

Inter-subject phase synchronization for exploratory analysis of task-fMRI.

Analysis of task-based fMRI data is conventionally carried out using a hypothesis-driven approach, where blood-oxygen-level dependent (BOLD) time courses are correlated with a hypothesized temporal structure. In some experimental designs, this temporal structure can be difficult to define. In other cases, experimenters may wish to take a more exploratory, data-driven approach to detecting task-driven BOLD activity. In this study, we demonstrate the efficiency and power of an inter-subject synchronization ap...

The use of model based recursive partitioning as an analytic tool in child welfare.

Child welfare agencies are tasked with investigating allegations of child maltreatment and intervening when necessary. Researchers are turning to the field of predictive analytics to optimize data analysis and data-driven decision making. To demonstrate the utility of statistical algorithms that preceded the current predictive analytics, we used Model Based (MOB) recursive partitioning, a variant of regression analysis known as decision trees, on a dataset of cases and controls with a binary outcome of seri...

Opening the Black Box: Understanding the Science Behind Big Data and Predictive Analytics.

Big data, smart data, predictive analytics, and other similar terms are ubiquitous in the lay and scientific literature. However, despite the frequency of usage, these terms are often poorly understood, and evidence of their disruption to clinical care is hard to find. This article aims to address these issues by first defining and elucidating the term big data, exploring the ways in which modern medical data, both inside and outside the electronic medical record, meet the established definitions of big dat...

Big-BOE: Fusing Spanish Official Gazette with Big Data Technology.

The proliferation of new data sources, stemmed from the adoption of open-data schemes, in combination with an increasing computing capacity causes the inception of new type of analytics that process Internet of things with low-cost engines to speed up data processing using parallel computing. In this context, the article presents an initiative, called BIG-Boletín Oficial del Estado (BOE), designed to process the Spanish official government gazette (BOE) with state-of-the-art processing engines, to reduce c...

BIG DATA ANALYTICS AND PRECISION ANIMAL AGRICULTURE SYMPOSIUM: Data to decisions.

Big data are frequently used in many facets of business and agronomy to enhance knowledge needed to improve operational decisions. Livestock operations collect data of sufficient quantity to perform predictive analytics. Predictive analytics can be defined as a methodology and suite of data evaluation techniques to generate a prediction for specific target outcomes. The objective of this manuscript is to describe the process of using big data and the predictive analytic framework to create tools to drive de...

A programmatic approach to address increasing HIV diagnoses among Hispanic/Latino MSM, 2010-2014.

From 2010 to 2015, young (13-24 years) Hispanic/Latino gay, bisexual and other men who have sex with men (MSM) experienced the largest increase (18%) in numbers of HIV diagnoses among all racial/ethnic groups. In 2016, the Centers for Disease Control and Prevention (CDC) assembled a team of scientists and public health analysts to develop a programmatic approach for addressing the increasing HIV diagnosis among Hispanic/Latino MSM. The team used a data driven review process, i.e., comprehensive review of ...

"You got to love rosin: Solventless dabs, pure, clean, natural medicine." Exploring Twitter data on emerging trends in Rosin Tech marijuana concentrates.

"Rosin tech" is an emerging solventless method consisting in applying moderate heat and constant pressure on marijuana flowers to prepare marijuana concentrates referred to as "rosin." This paper explores rosin concentrate-related Twitter data to describe tweet content and analyze differences in rosin-related tweeting across states with varying cannabis legal statuses.

Community-Driven Data Analysis Training for Biology.

The primary problem with the explosion of biomedical datasets is not the data, not computational resources, and not the required storage space, but the general lack of trained and skilled researchers to manipulate and analyze these data. Eliminating this problem requires development of comprehensive educational resources. Here we present a community-driven framework that enables modern, interactive teaching of data analytics in life sciences and facilitates the development of training materials. The key fea...

Publisher Correction: ERK-mediated phosphorylation regulates SOX10 sumoylation and targets expression in mutant BRAF melanoma.

In the original version of this Article, financial support was not fully acknowledged. The PDF and HTML versions of the Article have now been corrected to include the following: The National Basic Research Program (2015CB553602 to J.L.), the National Natural Science Foundation of China (31570777, 91649106, 31770917 to J.L.) and Tianjin Applied Basic and Frontier Tech Major Project (12JCZDJC34400 to J.L.) and Tianjin Higher Education Sci-Tech Development Project (20112D05 to J.L.).

Dark and Bright-Two Sides of Family-Centered Care in the NICU: A Qualitative Study.

Nurses in the Neonatal Intensive Care Unit (NICU) have an important role in implementing family-centered care (FCC). The aim of the study was to explore the lived experiences of NICU nurses on implementing FCC. An interpretative phenomenological study was conducted and 11 employed nurses were interviewed from April 2015 to February 2016. The data were analyzed through the Diekelmann, Allen, and Tanner approach. Four main themes of "strain to achieve stability," "bewildered by taking multiple roles," "accept...

Genetic programming based models in plant tissue culture: An addendum to traditional statistical approach.

In this paper, we compared the efficacy of observation based modeling approach using a genetic algorithm with the regular statistical analysis as an alternative methodology in plant research. Preliminary experimental data on in vitro rooting was taken for this study with an aim to understand the effect of charcoal and naphthalene acetic acid (NAA) on successful rooting and also to optimize the two variables for maximum result. Observation-based modelling, as well as traditional approach, could identify NAA ...

Implementing a Transcription Factor Interaction Prediction System Using the GenoMetric Query Language.

Novel technologies and growing interest have resulted in a large increase in the amount of data available for genomics and transcriptomics studies, both in terms of volume and contents. Biology is relying more and more on computational methods to process, investigate, and extract knowledge from this huge amount of data. In this work, we present the TICA web server (available at http://www.gmql.eu/tica/ ), a fast and compact tool developed to support data-driven knowledge discovery in the realm of transcript...

Developing the organisational culture in a healthcare setting.

This article aims to define organisational culture and explain why it is important to patients, carers and those working in healthcare environments. Organisational culture is not a new concept and the literature on the subject is well-established. However, because of the changing dynamics of the NHS, there has been a shift away from 'what' the NHS stands for, often relating to its history and rituals, to 'who' it functions for, including how healthcare professionals such as nurses can develop and drive the ...

Improving Performance Measures With Perioperative Analytics.

Perioperative nurses and leadership teams across the country strive to improve outcomes, increase operational efficiency, and achieve performance improvement on key measures in the perioperative department. In today's changing health care environment, which involves increasing pressure to do more with less, it is essential for perioperative leaders to understand analytics and how to use analytics to identify, plan, and implement improvement initiatives that will provide the greatest value. This article exam...

Data-driven gating in PET: Influence of respiratory signal noise on motion resolution.

Data-driven gating (DDG) approaches for positron emission tomography (PET) are interesting alternatives to conventional hardware-based gating methods. In DDG, the measured PET data themselves are utilized to calculate a respiratory signal that is subsequently used for gating purposes. The success of gating is then highly dependent on the statistical quality of the PET data. In this study we investigate how this quality determines signal noise and thus motion resolution in clinical PET scans using a center-o...

A Literature Survey and Experimental Evaluation of the State-of-the-Art in Uplift Modeling: A Stepping Stone Toward the Development of Prescriptive Analytics.

Prescriptive analytics extends on predictive analytics by allowing to estimate an outcome in function of control variables, allowing as such to establish the required level of control variables for realizing a desired outcome. Uplift modeling is at the heart of prescriptive analytics and aims at estimating the net difference in an outcome resulting from a specific action or treatment that is applied. In this article, a structured and detailed literature survey on uplift modeling is provided by identifying a...

Simulation of Patient Flow in Multiple Healthcare Units using Process and Data Mining Techniques for Model Identification.

An approach to building a hybrid simulation of patient flow is introduced with a combination of data-driven methods for automation of model identification. The approach is described with a conceptual framework and basic methods for combination of different techniques. The implementation of the proposed approach for simulation of the acute coronary syndrome (ACS) was developed and used in an experimental study.

Big Data Analytic, Big Step for Patient Management and Care in Puerto Rico.

This letter provides an overview of the application of big data in health care system to improve quality of care, including predictive modelling for risk and resource use, precision medicine and clinical decision support, quality of care and performance measurement, public health and research applications, among others. The author delineates the tremendous potential for big data analytics and discuss how it can be successfully implemented in clinical practice, as an important component of a learning health-...

Assessing the validity of a data driven segmentation approach: A 4 year longitudinal study of healthcare utilization and mortality.

Segmentation of heterogeneous patient populations into parsimonious and relatively homogenous groups with similar healthcare needs can facilitate healthcare resource planning and development of effective integrated healthcare interventions for each segment. We aimed to apply a data-driven, healthcare utilization-based clustering analysis to segment a regional health system patient population and validate its discriminative ability on 4-year longitudinal healthcare utilization and mortality data.


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