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

In many real-world applications, such as those based on 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...

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Detalles Bibliográficos
Autores principales: Halkola, Anni S., Joki, Kaisa, Mirtti, Tuomas, Mäkelä, Marko M., Aittokallio, Tero, Laajala, Teemu D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10032505/
https://www.ncbi.nlm.nih.gov/pubmed/36897911
http://dx.doi.org/10.1371/journal.pcbi.1010333

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10032505/
https://www.ncbi.nlm.nih.gov/pubmed/36897911
http://dx.doi.org/10.1371/journal.pcbi.1010333

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