Improving confidence while predicting trends in temporal disease networks

Abstract

For highly sensitive real-world predictive analytic applications such as healthcare and medicine, having good prediction accuracy alone is often not enough. These kinds of applications require a decision making process which uses uncertainty estimation as input whenever possible. Quality of uncertainty estimation is a subject of over or under confident… (More)

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Cite this paper

@inproceedings{Gligorijevic2015ImprovingCW, title={Improving confidence while predicting trends in temporal disease networks}, author={Djordje Gligorijevic and Jelena Stojanovic and Zoran Obradovic}, year={2015} }