disease tracking

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Big Data: Benefits, Drawbacks In Addressing Ebola

Norman Rozenberg | Tech Page One | August 20, 2014

An Ebola outbreak showed the importance of public health awareness and meaningful interventions, but big data’s role in this has yet to be seen...

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Can You Forecast The Spread Of A Deadly Disease?

Caitlin Fairchild | Nextgov.com | August 18, 2014

How do you accurately predict the spread of a painful and sometimes deadly disease?  The Defense Advanced Research Projects Agency is hoping to do just that, with its latest crowdsourcing project...

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eHealth: Can ICTs Bring the Doctor Closer to Patients?

Kwami Ahiabenu | Graphic Online | June 15, 2016

Information and Communications Technologies (ICTs), play an important role in improving healthcare delivery by providing new, innovative and efficient ways of connecting the patient to the doctor. They support quality care delivery by producing better data sets for information and knowledge management, assist in disease prevention and treatment; health monitoring,  diagnostic Information systems, supporting health system management processes including (planning, budget and financial functions) and supporting the emergency, ambulatory, organ donation systems as well as the disaster management systems and blood banks...

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Here’s How Researchers In Boston Spotted The Ebola Outbreak Before The World Health Organization

Timothy McGrath | Los Angeles Daily News | August 13, 2014

On March 23 the World Health Organization announced there was an Ebola outbreak in Guinea. But a team of researchers four thousand miles away in Boston already knew that...

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Open Source Machine Learning Tools are as Good as Humans' in Cancer Surveillance According to Regenstrief, Indiana Univ. Study

Press Release | Indiana University | April 21, 2016

Machine learning has come of age in public health reporting according to researchers from the Regenstrief Institute and Indiana University School of Informatics and Computing at Indiana University-Purdue University Indianapolis. They have found that existing algorithms and open source machine learning tools were as good as, or better than, human reviewers in detecting cancer cases using data from free-text pathology reports. The computerized approach was also faster and less resource intensive in comparison to human counterparts.

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Tracking Disease One Text at a Time

Belinda Luscombe | TIME.com | August 15, 2012

How cheap cell phones — and quick thumbs — are saving lives in Uganda

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University of Oklahoma Researcher Asks Twitter Users to Help with Research

Press Release | Oklahoma University Gallogly College of Engineering | May 26, 2017

Did you ever consider that your tweets could be used for scientific research? Researchers at the University of Oklahoma are taking to the Twitterverse to help them investigate the use of Twitter for public health research. Christan Grant, a computer science researcher in the Gallogly College of Engineering, is asking active Twitter users over the age of 18 to complete a quick two-minute online survey...

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