Article

OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer

2022-07-02

Abstract excerpt

In many real-world applications, such as those based on patient electronic health records, prognostic prediction of patient survival is based on heterogeneous sets of clinical laboratory measurements. To address the trade-off between the predictive accuracy of a prognostic model and the costs related to its clinical implementation, we propose an optimized L 0 -pseudonorm approach to learn sparse solutions in mult...

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Literature Corpus work: b26722ad-358d-5985-b83b-bd886717db63
DOI: 10.1101/2022.06.29.498064

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OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancerDOI 10.1101/2022.06.29.498064Read

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