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Big data, crowdsourcing and machine learning tackle Parkinson’s

Successful Workingplace: “Parkinson’s is a very tough disease to fight. People suffering from the disease often have significant tremors that keep them from being able to create accurate records of their daily challenges. Without this information, doctors are unable to fine tune drug dosages and other treatment regimens that can significantly improve the lives of sufferers.
It was a perfect catch-22 situation until recently, when the Michael J. Fox Foundation announced that LIONsolver, a company specializing in machine learning software, was able to differentiate Parkinson’s patients from healthy individuals and to also show the trend in symptoms of the disease over time.
To set up the competition, the Foundation worked with Kaggle, an organization that specializes in crowdsourced big data analysis competitions. The use of crowdsourcing as a way to get to the heart of very difficult Big Data problems works by allowing people the world over from a myriad of backgrounds and with diverse experiences to devote time on personally chosen challenges where they can bring the most value. It’s a genius idea for bringing some of the scarcest resources together with the most intractable problems.”
 

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