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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 to manage clinical resources, assess health risks, andSee more

Actived: 5 days ago

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

Exploring relationships between medical college rankings and

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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Software architectures for big data: a systematic literature review

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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 and

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” in neuroscience: open door to a more comprehensive …

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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From ancient times to modern: realizing the power of data …

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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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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Multilayer networks: aspects, implementations, and application in

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Leveraging big data in population health management

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A comprehensive model for management and validation of federal …

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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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 with a …

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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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Big data for development: applications and techniques

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Identification of disease-distinct complex

WebThe identification of emergent data structures in the 25-marker plasma lipidomics data set required four major steps comprising (i) the preparation of the …

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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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Random bits regression: a strong general predictor for big data

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

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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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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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