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Big data’s early detection of life-threatening infection

20-Oct-2015

Key points from article :

Penn Medicine’s massively parallel computer cluster uses a huge volume of data to build prototypes of new care pathways.

Pathways then tested with patients and results feed back into data set.

Clinicians can predict patients at risk of sepsis, a life-threatening complication, 24 hours earlier than before.

Mentioned in this article:

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Michael (Mike) Draugelis

Chief Data Scientist at Penn Medicine.

Penn Institute for Biomedical Informatics (IBI)

Institute for Biomedical Informatics at the University of Pennsylvania.

Penn Medicine

Academic medical center in Philadelphia.

Topics mentioned on this page:
AI in Healthcare