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For the public health monitoring, FDA is releasing the public data for consumer complaint data. This CARES database contains information on product complaint reports submitted to FDA. It includes dietary supplements and food adversary incidents. Also, the FDA is trying to utilize SNS data like Twitter as real-time monitoring tools. In this analysis, we will analyze the CARES database and twitter search API to analyze the adversary trends and products. CARES Data Processing Most Complained Products Overall Outcomes from Incidents Actual Injuries from incidents Demographics of Patients Product Analysis Trend Adverse Incident Severity Product distribution with Severity Twitter Analysis on Top Severe Complaints Product Prediction Conclusion
CARES
CARES
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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