2 ms·
The ETL for 3200 emergency rooms worth of data must be a nightmare. It would have to be largely unstructured upon ingestion, and I can’t imagine normalising it
by AmericanChopper 7y ago
The ETL for 3200 emergency rooms worth of data must be a nightmare. It would have to be largely unstructured upon ingestion, and I can’t imagine normalising it enough for this sort of automated outlier detection would be possible.
- prepend 7y agoThe guide [0] shows like 20 defined fields and then free text notes. It would be cool, but seems kind of impossible to tell a significant outlier (vape lung) from an insignificant outlier (misspelling). The way the article describes it, epidemiologists define a new condition (vape lung) and then look for that. [0] https://www.cdc.gov/nssp/documents/guides/syndrsurvmessagguide2_messagingguide_phn.pdf https://www.cdc.gov/nssp/documents/guides/syndrsurvmessaggui...