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

18:11 EST 20th January 2019 | BioPortfolio

Implementing Culture Driven Data Analytics Approach Support Tech PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Implementing Culture Driven Data Analytics Approach Support Tech articles that have been published worldwide.

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

Structural biology meets data science: does anything change?

Data science has emerged from the proliferation of digital data, coupled with advances in algorithms, software and hardware (e.g., GPU computing). Innovations in structural biology have been driven by similar factors, spurring us to ask: can these two fields impact one another in deep and hitherto unforeseen ways? We posit that the answer is yes. New biological knowledge lies in the relationships between sequence, structure, function and disease, all of which play out on the stage of evolution, and data sci...


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.

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...


Data integration strategies for predictive analytics in precision medicine.

With the rapid growth of health-related data including genomic, proteomic, imaging and clinical, the arduous task of data integration can be overwhelmed by the complexity of the environment including data size and diversity. This report examines the role of data integration strategies for big data predictive analytics in precision medicine research. Infrastructure-as-code methodologies will be discussed as a means of integrating and managing data. This includes a discussion on how and when these strategies ...

Augmenting geovisual analytics of social media data with heterogeneous information network mining-Cognitive plausibility assessment.

This paper investigates the feasibility, from a user perspective, of integrating a heterogeneous information network mining (HINM) technique into SensePlace3 (SP3), a web-based geovisual analytics environment. The core contribution of this paper is a user study that determines whether an analyst with minimal background can comprehend the network data modeling metaphors employed by the resulting system, whether they can employ said metaphors to explore spatial data, and whether they can interpret the results...

A data driven diagnosis tool for thyroid hormones.

Thyroid hormones play a significant role in human health. Understanding their dynamics is crucial to diagnoses and maintaining the well-being of the thyroid. In this work we propose a data driven algorithm to detect a fixed point and a limit cycle in real data for thyroid hormones. This algorithm finds the maximum frequency point (fixed point) and extracts a smooth ellipse (limit cycle) from the data. These features characterize various data sets and provide interesting insights to differentiate healthy fro...

Spatio-Temporal Urban Data Analysis: A Visual Analytics Perspective.

Visual analytics systems can greatly help in the analysis of urban data allowing domain experts from academia and city governments to better understand cities, and thus enable better operations, informed planning and policies. Effectively designing these systems is challenging and requires bringing together methods from different domains. In this paper, we discuss the challenges involved in designing a visual analytics system to interactively explore large spatio-temporal data sets and give an overview of o...

Supporting Story Synthesis: Bridging the Gap between Visual Analytics and Storytelling.

Visual analytics usually deals with complex data and uses sophisticated algorithmic, visual, and interactive techniques. Findings of the analysis often need to be communicated to an audience that lacks visual analytics expertise. This requires analysis outcomes to be presented in simpler ways than that are typically used in visual analytics systems. However, not only analytical visualizations may be too complex for target audience but also the information that needs to be presented. Hence, there exists a ga...

A crossroads in predictive analytics monitoring for clinical medicine.

A new goal for medical informatics is to develop robust tools that integrate clinical data on a patient in order to estimate the risk of imminent adverse events. This new field of predictive analytics monitoring is growing very quickly. Its claims, however, can be vulnerable when clinicians fail to use the best mathematical and statistical tools, when quantitative scientists fail to grasp the nuances of clinical medicine, and when either fails to incorporate knowledge of physiology. Its potential, though is...

Innovation in Regulatory Science Is Meeting Evolution of Clinical Evidence Generation.

At the turn of the century, the pharmaceutical industry began a transition toward a focus on oncology, rare diseases, and other areas of high unmet need that required a new, more complex approach to drug development. For many of these disease states and novel approaches to therapy, traditional approaches to clinical trial design fall short and a number of innovative trial designs have emerged. In light of these changes, regulators across the globe are implementing new programs to provide regular development...

Laparoscopic sacrocolpopexy with or without midurethral sling insertion: Is a two- step approach justified? A prospective study.

Most data support the fact that women with symptomatic pelvic organ prolapse (POP) with concomitant symptomatic or occult stress urinary incontinence (SUI) benefit from concurrent POP and anti-incontinence procedure. However some data support a delayed or 2-step approach. The aim of this study was to demonstrate the effectiveness and safety of laparoscopic sacrocolpopexy (SCP) alone with a delayed approach for SUI to prove the justification of a 2-step approach.

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...

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 ...

Visual Analytics for Topic Model Optimization based on User-Steerable Speculative Execution.

To effectively assess the potential consequences of human interventions in model-driven analytics systems, we establish the concept of speculative execution as a visual analytics paradigm for creating user-steerable preview mechanisms. This paper presents an explainable, mixed-initiative topic modeling framework that integrates speculative execution into the algorithmic decisionmaking process. Our approach visualizes the model-space of our novel incremental hierarchical topic modeling algorithm, unveiling i...

Evaluation of an active decision support system for hemodynamic optimization during elective major vascular surgery.

Active decision support systems implementing goal directed therapy may be an approach to reduce disparities in outcome between different health care providers. We assessed feasibility of and adherence to an active decision support system (ADSS) comprising fluids, vasopressors, and dobutamine to optimize hemodynamics during high-risk vascular surgery.

Suicidal ideation and behaviors within the school context: Perceived teacher, peer and parental support.

School-related factors have been found to be associated with adolescents' suicidal ideation and behaviors, including teacher and peer support. Research has tended to ignore the nested nature of school-related data, which may be critical in this context. The current study implemented a multi-level approach on data from the 2013-14 Health Behaviors in School-aged Children (HBSC-WHO) Israeli survey among high school children (N = 4241; 56% female). Participants completed measures of teacher-, peer-, and pa...

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...

Controlled feature selection and compressive big data analytics: Applications to biomedical and health studies.

The theoretical foundations of Big Data Science are not fully developed, yet. This study proposes a new scalable framework for Big Data representation, high-throughput analytics (variable selection and noise reduction), and model-free inference. Specifically, we explore the core principles of distribution-free and model-agnostic methods for scientific inference based on Big Data sets. Compressive Big Data analytics (CBDA) iteratively generates random (sub)samples from a big and complex dataset. This subsamp...

Segmenting accelerometer data from daily life with unsupervised machine learning.

Accelerometers are increasingly used to obtain valuable descriptors of physical activity for health research. The cut-points approach to segment accelerometer data is widely used in physical activity research but requires resource expensive calibration studies and does not make it easy to explore the information that can be gained for a variety of raw data metrics. To address these limitations, we present a data-driven approach for segmenting and clustering the accelerometer data using unsupervised machine ...

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...

Establishing and implementing a health promoting school in rural Cambodia.

Few studies have used a whole-of-school approach in implementing a health promoting schools (HPS) framework. Descriptions of how HPS is being implemented, particularly in low-resourced, developing countries, are limited. This study used an exploratory case study design to examine the planning and implementation of a HPS in a rural Cambodian village. Data were collected via observations of the school, school documentation, and interviews with stakeholders (n = 9). The data were analysed inductively as an ite...

An Adaptive, Data-Driven Personalized Advisor for Increasing Physical Activity.

In recent years, there has been growing interest in the use of fitness trackers and smartphone applications for promoting physical activity. Most of these applications use accelerometers to measure the level of activity that users engage in and provide descriptive, interactive reports of a user's step counts. While these reports are data-driven and personalized, any recommendations, if provided, are limited to popular health advice. In our work, we develop an approach for providing data-driven and personali...

Considerations for implementing an informatics system to support biologics drug discovery.

A comprehensive, well-functioning and scientifically aware informatics environment is of the utmost importance in supporting effective drug discovery programs. However, implementing such a system can, without a carefully crafted and enacted strategy, be a disruptive and time-consuming process, fraught with risks of cost overruns and the potential to end up with a system that ultimately does not meet the ever-evolving needs of the organization. In this review, using our experience from the software provider ...

Using social network analysis to understand online Problem-Based Learning and predict performance.

Social network analysis (SNA) may be of significant value in studying online collaborative learning. SNA can enhance our understanding of the collaborative process, predict the under-achievers by means of learning analytics, and uncover the role dynamics of learners and teachers alike. As such, it constitutes an obvious opportunity to improve learning, inform teachers and stakeholders. Besides, it can facilitate data-driven support services for students. This study included four courses at Qassim University...

The role of self-objectification and women's blame, sympathy, and support for a rape victim.

Sexual aggression is prevalent and damaging in our culture, and sources of support or blame following an attack of this kind can be important influences on the recovery process. This pair of studies investigate the nature of women's blame reactions towards survivors of sexual aggression, as well as the potential for provision of sympathy and support. Specifically, we focused on the previously neglected role of female self-objectification. It was expected that increased self-objectification would lead to dec...


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