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How big data is improving breast cancer prediction rates

05-Dec-2016

Key points from article :

Influence score (I-score) improved the prediction rate in breast cancer data from 70 percent to 92 percent.

New method for differentiating between “noisy” and predictive variables in big data.

I-score fares especially well in high-dimensional data with many complex interactions between variables such as genetic data.

Could be valuable for analyzing other big healthcare data such as electronic health records and wearable sensors/trackers.

Mentioned in this article:

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Princeton University

Ivy League research university in Princeton, New Jersey

Topics mentioned on this page:
AI in Healthcare