Neural network and logistic regression diagnostic prediction models for giant cell arteritis: development and validation

Neural network and logistic regression diagnostic prediction models for giant cell arteritis: development and validation

Edsel B Ing,1 Neil R Miller,2 Angeline Nguyen,2 Wanhua Su,3 Lulu LCD Bursztyn,4 Meredith Poole,5 Vinay Kansal,6 Andrew Toren,7 Dana Albreki,8 Jack G Mouhanna,9 Alla Muladzanov,10 Mikaël Bernier,11 Mark Gans,10 Dongho Lee,12 Colten Wendel,13 Claire Sheldon,13 Marc Shields,14 Lorne Bellan,15...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Ing EB, Miller NR, Nguyen A, Su W, Bursztyn LLCD, Poole M, Kansal V, Toren A, Albreiki D, Mouhanna JG, Muladzanov A, Bernier M, Gans M, Lee D, Wendel C, Sheldon C, Shields M, Bellan L, Lee-Wing M, Mohadjer Y, Nijhawan N, Tyndel F, Sundaram ANE, ten Hove MW, Chen JJ, Rodriguez AR, Hu A, Khalidi N, Ing R, Wong SWK, Torun N
Format: article
Langue:EN
Publié: Dove Medical Press 2019
Sujets:
giant cell arteritis
temporal artery biopsy
neural network
logistic regression
prediction models
Ophthalmology
RE1-994
Accès en ligne:https://doaj.org/article/d9856a79330c4ec5be247b628474ab1f
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Internet

https://doaj.org/article/d9856a79330c4ec5be247b628474ab1f

Documents similaires