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Leveraging big data in population health management

To get the right person to the right care at the right time, a robust analytics platform is required, including computer programs … See more

Actived: 5 days ago

URL: https://bdataanalytics.biomedcentral.com/articles/10.1186/s41044-016-0001-5

The emerging era of Big Data Analytics

WEBWe would like to welcome you to Big Data Analytics, a pioneering multi-disciplinary open access and peer-reviewed journal, which welcomes cutting-edge …

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Exploring relationships between medical college rankings …

WEBIt is important to examine the cost-effectiveness of medical education. The public wants to know how government spending is being utilized to train doctors. There …

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From ancient times to modern: realizing the power of …

WEBData visuals (scientific images) display and express various amounts and types of information, and, as the saying goes,“an image is worth 1,000 words.” Based on …

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Software architectures for big data: a systematic literature …

WEBBig Data systems are often composed of information extraction, preprocessing, processing, ingestion and integration, data analysis, interface and …

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Big data preprocessing: methods and prospects Big Data …

WEBThe massive growth in the scale of data has been observed in recent years being a key factor of the Big Data scenario. Big Data can be defined as high volume, …

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“Big Data” in neuroscience: open door to a more …

WEBThe International Symposium “Advances in Systems Biology in Neurosciences” was held in February 2015 in Geneva. A hundred scientists with a …

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A comprehensive model for management and validation …

WEBIn this era of data science, many software vendors are rushing towards providing better solutions for data management, analytics, validation and security. The …

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Leveraging big data in population health …

WEBRESEARCH Open Access Leveraging big data in population health management Timothy S. Wells1*, Ronald J. Ozminkowski2, Kevin Hawkins1, Gandhi R. Bhattarai3 and …

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Exploring relationships between medical college …

WEBIntroduction and motivation Given the high cost of healthcare in most countries, especially the USA, it is para-mount to quantify and measure health outcomes as this leads to …

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Big data for development: applications and techniques

WEBWith the explosion of social media sites and proliferation of digital computing devices and Internet access, massive amounts of public data is being generated on a …

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A substrate for modular, extensible data-visualization

WEBA GraphLayer and a ScatterLayer, embedded in the same 3D space. substrate overlays the two and controls the two independently. a One layer renders a …

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Random bits regression: a strong general predictor for big data

WEBBackground Data-based modeling is becoming practical in predicting outcomes. In the era of big data, two practically conflicting challenges are eminent: (1) …

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Work ability assessment among acutely admitted patients using

WEBAims and research questions. The project consists of two parts: an intervention trial and a prospective study. The aim of the intervention trial is to evaluate …

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Towards quantifying psychiatric diagnosis using machine learning

WEBAttention Deficit Hyperactivity Disorder (ADHD) is one of the most common brain disorders among children and is very difficult to diagnose using current methods. …

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Software architectures for big data: a systematic literature …

WEBThe software architecture is the high-level representation and definition of a software system providing the relationships between architectural elements and sub-elements …

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Validation of a motion capture system for deriving accurate …

WEBBackground Human movement such as physical work, exercise and sport activities can be analyzed to determine kinetic (force) and kinematic (motion) …

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Estimation of AT and GC content distributions of nucleotide

WEBBackground Genomic GC content varies both within and, substantially, between microbial genomes. While some of this variation can be explained by …

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Failure prediction using personalized models and an application to

WEBTo reduce disruptions of processes and the cost of maintenance, predicting the onset of failure (or a similar event) of a physical system (or components of a physical …

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