Federated Cox Proportional Hazards Model with multicentric privacy-preserving LASSO feature selection for survival analysis from the perspective of personalized medicine-Reference-Cited by-同舟云学术

Federated Cox Proportional Hazards Model with multicentric privacy-preserving LASSO feature selection for survival analysis from the perspective of personalized medicine

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS)
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Author:

Masciocchi Carlotta¹^ORCID,Gottardelli Benedetta¹^ORCID,Savino Mariachiara¹^ORCID,Boldrini Luca¹^ORCID,Martino Antonella¹^ORCID,Mazzarella Ciro¹,Massaccesi Mariangela¹^ORCID,Valentini Vincenzo¹^ORCID,Damiani Andrea¹^ORCID

Affiliation:

1. Fondazione Policlinico Universitario Agostino Gemelli (IRCCS),Gemelli Generator Real World Data,Roma,Italia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9866947/9866899/09867090.pdf?arnumber=9867090

Reference36 articles.

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4. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

5. Multi-omics facilitated variable selection in Cox-regression model for cancer prognosis prediction

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