Researchers at Rice University have developed a big data technique that could have a significant impact on healthcare through “clustering” and the ability to reveal information in complex sets of data like electronic health records.
“Health records include a person’s age, white blood cell count, weight, and they are starting to have proteomics data or gene mutation data. Those are all features of a person and if you want to group a bunch of people together to figure out what therapy or drug to give them you need to do that in a systematic way. You can’t just assign them to whatever group the doctor feels like assigning them to,” says Amina Qutub, an assistant professor of bioengineering at Rice.
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