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Summary:Since v-safe is an active monitoring tool (unlike VAERS, which is passive), it is very well suited to Observed-vs-Expected (O/E) analysis for Adverse Events of Special InterestAnd the AstraZeneca PSUR report has already provided us an excellent reference for “official” background incidence ratesBut “coding” all free text entries into one of only two possible fields - PT_NAME (Preferred Term) and LLT_NAME (Lower Level Term) - can be quite misleadingfor example, if a pre-existing condition is coded as a Preferred Term, it a) overcounts the incidence of post-vaccine adverse reactions and b) also does not surface pre-existing conditions1 (what is usually called HISTORY in VAERS)Mapping v-safe free text entries to VAERS fields will be a good way to not only resolve these kinds of problems, it will also make the overall v-safe analysis much more insightfulUsing NLP (Natural Language Processing) will allow us to do this at scaleAfter I published an article recently, Twitter friend a_n...

author

Aravind Mohanoor

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1767850511

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