Better predicting health outcomes through the analysis of big data are the goals of healthcare analytics. Now, a new method for differentiating between “noisy” and predictive variables in big data has been shown to significantly improve the prediction rate of breast cancer.

Developed by a Princeton-led research team, the method called the influence score (I-score) was found to improve the prediction rate in real-world disease data.

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