How to warn drug side effects, FDA to explain

through a systematic analysis of 6 million people's search histories over the past 3 years, the researchers found that a mixture of two drugs, paroxetine (antidepressants) and pravastatin (cholesterol-lowering drugs), could lead to hyperglycemia. How this is known, the is based on the same data mining technology, and the Google's proposed drugs "side effects warning technology is the same thing." Influenza trend warning Service according to the New York Times:

For drug side effects studies, the researchers first need to confirm that users of paroxetine and pravastatin were searched independently in 2010, and that users of both paroxetine and Pravastatin were identified simultaneously. At the same time, the three groups of users were found to search for hyperglycemia (a total of about 80 words, such as "hyperglycemia", "Blurred Vision") users, so that each group of users can calculate the likelihood of diabetes.

The study found that users of both paroxetine and Pravastatin searched for about 10% of the vocabulary associated with hyperglycemia, compared with about 5% and 4% per cent of users who had only been searching for paroxetine or pravastatin separately.

The study also found that users who searched for paroxetine and pravastatin-related symptoms were likely to search again in a very short time: 30% users would search on the same day, 40% users would search within the same week, and 50% users would search in the same January.

FDA can obtain drug side effects information through the ADR reporting system, but only when clinicians have found a real case of drug side effects. Therefore, Sentinel initiative can effectively detect drug side effects in advance.

Russ Altman, director of the Department of Bioengineering at Stanford University, presided over the study. Dr. Altman is working to make predictions more accurate and forward.

It is noteworthy that Dr. Altman is very careful to protect the privacy of users, and they have obtained 82 million separate search records that are approved by the user, including drug names, symptoms, and physical condition information.

Engineers say they are considering adding information sources, such as user behavior data and information in social networks. But he also stressed that the biggest difficulty they faced was how to integrate information from all sources and protect the privacy of users.

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