"To predict the risk of chronic kidney disease (CKD) using Generalized ..."

Francesco Lapi et al. (2023)

> Home

Details and statistics

DOI: 10.1093/JAMIA/OCAD097

access: closed

type: Journal Article

metadata version: 2024-10-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jamia/LapiNMMCPGFPC23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jamia/LapiNMMCPGFPC23
Francesco Lapi, Lorenzo Nuti, Ettore Marconi, Gerardo Medea, Iacopo Cricelli, Matteo Papi, Marco Gorini, Matteo Fiorani, Gaetano Piccinocchi, Claudio Cricelli:
To predict the risk of chronic kidney disease (CKD) using Generalized Additive2 Models (GA2M). J. Am. Medical Informatics Assoc. 30(9): 1494-1502 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.