A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes

The AutoScore framework can automatically generate data-driven clinical scores in various clinical applications. Here, we present a protocol for developing clinical scoring systems for binary, survival, and ordinal outcomes using the open-source AutoScore package. We describe steps for package insta...

Descripción completa

Detalles Bibliográficos
Autores principales: Xie, Feng, Ning, Yilin, Liu, Mingxuan, Li, Siqi, Saffari, Seyed Ehsan, Yuan, Han, Volovici, Victor, Ting, Daniel Shu Wei, Goldstein, Benjamin Alan, Ong, Marcus Eng Hock, Vaughan, Roger, Chakraborty, Bibhas, Liu, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200969/
https://www.ncbi.nlm.nih.gov/pubmed/37178115
http://dx.doi.org/10.1016/j.xpro.2023.102302

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200969/
https://www.ncbi.nlm.nih.gov/pubmed/37178115
http://dx.doi.org/10.1016/j.xpro.2023.102302

Ejemplares similares