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Big Data Terminology Mess Needs Cleanup
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Alex Kane Rudansky
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Alex Kane Rudansky,
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11/18/2013 | 10:24:56 AM
Healthcare
I've seen the same issue arise in healthcare. Doctors have different terms for the same illnesses and medications, making big data analytics a headache. For example: Hypertension and high blood pressure. Same illness, different name. Until a standardized nomenclature is put in place, it will be hard to accurately and effectively mine electronic health record data.
Laurianne
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Laurianne,
User Rank: Author
11/18/2013 | 9:46:28 AM
Big Data Terminology Mess
Vocabulary will be a big deal as data scientists try to communicate with people on the business side and even with people in other IT disciplines. As we just went through a large dev project here, I heard myself say several times, "I think we're just not speaking the same language." We each knew what we wanted, but the lexicon was completely different.You have an opportunity at this time, big data gurus, to set the tone in vocabulary. Which terms should we ban early?


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