Now, researchers are trolling your web searches to auto-detect diseases.
The Washington Post recently channeled a study done by Microsoft — published in the Journal of Oncology Practice …
The essence: Microsoft’s big data analysts ID’ed folks who were querying questions like “how to treat pancreatic cancer” — hypothesizing that they might have been diagnosed with the disease.
Then, the researchers backtracked thru the prior searches done by those folks and detected a pattern of precedent queries that revolved around symptoms, e.g. abdominal swelling.
Bottom line: the researchers were able to use the inferred pattern of symptoms to early-predict a disease diagnosis for a statistically significant number people who queried symptoms.
That’s potentially big news in disease diagnosis, though doctors caution that for many diseases, the onset of patient-queried symptoms may be too late-stage for effective treatment.
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The Microsoft query- disease analysis reminded me of how Target created some Big Data buzz for analyzing purchase patterns to ID moms-to-be.
