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...

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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2019
Materias:	giant cell arteritis temporal artery biopsy neural network logistic regression prediction models Ophthalmology RE1-994
Acceso en línea:	https://doaj.org/article/d9856a79330c4ec5be247b628474ab1f
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Neural network and logistic regression diagnostic prediction models for giant cell arteritis: development and validation

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