med watch dashboard - big data mining on safety information and adverse event reports
DESCRIPTION
MED Watch Dashboard Big Data Mining on Safety Information and Adverse Event Reports http://medwatch.co.nf Budapest Users of R Network, 2014.01.15TRANSCRIPT
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Data Source (FDA)
• 2012 Q4 Safety Alerts for Human Medical Products (Drugs, Biologics, Medical Devices, Special Nutritionals, and Cosmetics)
• The alerts contain actionable information that may impact both treatment and diagnostic choices for healthcare professional and patient.
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MED Watch Dashboard Viewers http://medwatch.co.nf
December of 2013
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Data Clean - 1
• The raw reported data have been cleaned according to the International Conference on Harmonisation (ICH) of Technical Requirements for Registration of Pharmaceuticals for Human Use.
• The verbatim reactions/indications have been coded into the system organ class (SOC) using the Medical Dictionary for Regulatory Activities (MedDRA version 13.1) for coding of diseases/medical conditions.
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Data Clean - 2
● The raw reported datasets have been transferred into CDISC SDTM datasets, and also into CDISC ADaM datasets which are the basis for production of statistical graphs in R statistical package including: – Shiny, – vcd (The conditional density plot - Hofmann and Theus
2005), – Basic Hexagon Binning Functions (hexbin) – rworldmap(joinCountryData2Map, mapCountryData), – ggplot2.
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LIE Factor - Edward Tufte Define the maximum ideas to the audience:
• In the shortest time,
• Minimize the number of "ink", with the smallest optimal representation.
• Tell the truth about the data.
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