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

PURPOSE: To develop and validate neural network (NN) vs logistic regression (LR) diagnostic prediction models in patients with suspected giant cell arteritis (GCA). Design: Multicenter retrospective chart review. METHODS: An audit of consecutive patients undergoing temporal artery biopsy (TABx) for...

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Detalles Bibliográficos
Autores principales: Ing, Edsel B, Miller, Neil R, Nguyen, Angeline, Su, Wanhua, Bursztyn, Lulu L C D, Poole, Meredith, Kansal, Vinay, Toren, Andrew, Albreki, Dana, Mouhanna, Jack G, Muladzanov, Alla, Bernier, Mikaël, Gans, Mark, Lee, Dongho, Wendel, Colten, Sheldon, Claire, Shields, Marc, Bellan, Lorne, Lee-Wing, Matthew, Mohadjer, Yasaman, Nijhawan, Navdeep, Tyndel, Felix, Sundaram, Arun N E, ten Hove, Martin W, Chen, John J, Rodriguez, Amadeo R, Hu, Angela, Khalidi, Nader, Ing, Royce, Wong, Samuel W K, Torun, Nurhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2019
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388759/
https://www.ncbi.nlm.nih.gov/pubmed/30863010
http://dx.doi.org/10.2147/OPTH.S193460

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388759/
https://www.ncbi.nlm.nih.gov/pubmed/30863010
http://dx.doi.org/10.2147/OPTH.S193460

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