data mining

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Irvine, Calif-Based Health Tech Firm Acquires Growth Strategy Funding for NICU Mobile App

Press Release | Rapid Healthcare, Inc. | November 17, 2016

Rapid Healthcare Inc., a mobile medical apps software company based in Irvine, California, is proud to announce an important alliance that will increase growth strategies for improved access to health care professionals through funding provided by Watermark Venture Capital. Watermark is a privately held California firm currently deploying its services to support large national companies to start-ups. Watermark Venture Capital selects award candidates for capital infusion, based in key technology growth areas such as the healthcare, artificial intelligence, SaaS and more...

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Mount Sinai Researchers Publish Results of First-of-Its-Kind iPhone Asthma Study

Press Release | Mount Sinai Health System | March 13, 2017

Scientists from the Icahn School of Medicine at Mount Sinai today published results from a pioneering study of asthma patients in the U.S. conducted entirely via iPhone using the Apple ResearchKit framework and the Asthma Health app developed at Mount Sinai with collaborating organizations. The results demonstrated that this approach was successful for large-scale participant enrollment across the country, secure bi-directional data exchange between study investigators and app users, and collection of other useful information such as geolocation, air quality, and device data. The publication appears today in Nature Biotechnology...

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Open Access 2.0: Access To Scholarly Publications Moves To A New Phase

Joseph Esposito | The Scholarly Kitchen | February 20, 2013

What publishing does well — traditional publishing, that is, where you pay for what you read, whether in print or online — is command attention. This is not a trivial matter in a world that seemingly generates more and more information effortlessly, but still has the poor reader stuck with something close to the Biblical lifespan of three score and ten and a clock that stubbornly insists that a day is 24 hours and no more... Read More »

Python Versus R for Machine Learning and Data Analysis

Machine learning and data analysis are two areas where open source has become almost the de facto license for innovative new tools. Both the Python and R languages have developed robust ecosystems of open source tools and libraries that help data scientists of any skill level more easily perform analytical work. The distinction between machine learning and data analysis is a bit fluid, but the main idea is that machine learning prioritizes predictive accuracy over model interpretability, while data analysis emphasizes interpretability and statistical inference. Python, being more concerned with predictive accuracy, has developed a positive reputation in machine learning. R, as a language for statistical inference, has made its name in data analysis...

Raytheon's 'Google for Spies' Tracks You From Social-Media Sharing — And Fast

Rebecca Greenfield | The Atlantic Wire | February 11, 2013

As if you weren't paranoid enough about your Facebook privacy settings, now your ever social-media move can be mined for the purposes of actual spying... Read More »

Recommendations For Removing Copyright Hurdles To Scientific Research

Staff Writer | Science Codex | September 3, 2013

The EU e-infrastructure coordination pro-iBiosphere project is preparing the ground for the pursuit of biological research in the digital age. In its "Draft policy for Open Access to data and information" scientists and lawyers recommend that hurdles posed by copyright and database protection should be removed by establishing exceptions for research in a new binding, Europe-wide regulation... Read More »

Revealed: Google AI Has Access to Huge Haul of NHS Patient Data

Hal Hodson | New Scientist | April 29, 2016

It’s no secret that Google has broad ambitions in healthcare. But a document obtained by New Scientist reveals that the tech giant’s collaboration with the UK’s National Health Service goes far beyond what has been publicly announced. The document – a data-sharing agreement between Google-owned artificial intelligence company DeepMind and the Royal Free NHS Trust – gives theclearest picture yet of what the company is doing and what sensitive data it now has access to...

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RightsCon Redux: Working Toward A Progressive Copyright Framework For Europe

RightsCon is an annual conference that focuses on awareness-raising, organising, and advocacy on global issues at the intersection of technology and human rights. The event is produced by the international nonprofit organization AccessNow. RightsCon participants include members of digital rights organisations, legal experts, civil society, government, and business representatives. Creative Commons, Mozilla, and the Wikimedia Foundation organized a panel discussion on the work being done to reform the European Union copyright rules...

Strengthening Protection of Patient Medical Data

Adam Tanner | The Century Foundation | January 10, 2017

Americans seeking medical care expect a certain level of privacy. Indeed, the need for patient privacy is a principle dating back to antiquity, and is codified in U.S. law, most notably the Privacy Rule of the 1996 Health Insurance Portability and Accountability Act (HIPAA), which establishes standards that work toward protecting patient health information. But the world of information is rapidly changing, and in this environment, U.S. rules fall precariously short in protecting our medical data...

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The NSA And Big Data: What IT Can Learn

Kurt Marko | InformationWeek | July 22, 2013

Enterprises can put the tools Big Brother uses to analyze our online activities to productive use. Here's how. Read More »

The Story of How our Health Informatics Textbook Came into Being

I have been asked many times how and why I became interested in Health Informatics and how that led to the writing and self-publication of our textbook, Health Informatics: Practical Guide. The textbook is now in its 7th edition and has been adopted by a large number of universities for their health informatics courses. More co-authors have come on board, and we are now looking at publishing other textbooks. Thus we thought this would be a good point to tell the story.

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Top 7 Open Source Business Intelligence and Reporting Tools

In this article, I review some of the top open source business intelligence (BI) and reporting tools. In economies where the role of big data and open data are ever-increasing, where do we turn in order to have our data analysed and presented in a precise and readable format? This list covers tools which help to solve this problem. Two years ago I wrote about the top three. In this article, I will expand that list with a few more tools that were suggested by our readers. Note that this list is not exhaustive, and it is a mix of both business intelligence and reporting tools...

Top 8 Open Source Artificial Intelligence (AI) Technologies in Machine Learning

Artificial intelligence (AI) technologies are quickly transforming almost every sphere of our lives. From how we communicate to the means we use for transportation, we seem to be getting increasingly addicted to them. Because of these rapid advancements, massive amounts of talent and resources are dedicated to accelerating the growth of the technologies. Here is a list of 8 best open source AI technologies you can use to take your machine learning projects to the next level.

Web-Based Data Tool Designed to Enhance Drug Safety

Press Release | Cincinnati Children's Hospital Medical Center | July 8, 2016

A new online open-access database has been developed by scientists to allow the clinical responses of more than 5 million patients to all FDA-approved drugs to be used to identify unexpected clinical harm, benefits and alternative treatment choices for individual patients, according to a study appearing July 8 in Nature Biotechnology. Developed by scientists in the Division of Biomedical Informatics and the Clinical and Translational Sciences Program at Cincinnati Children's Hospital Medical Center, the database has the potential to help reduce negative side effects from prescription drugs and identify opportunities to reposition existing drugs for new uses, report the study's authors.

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