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A machine learning model for the prediction of survival and tumor subtype in pancreatic ductal adenocarcinoma from preoperative diffusion-weighted imaging

BACKGROUND: To develop a supervised machine learning (ML) algorithm predicting above- versus below-median overall survival (OS) from diffusion-weighted imaging-derived radiomic features in patients with pancreatic ductal adenocarcinoma (PDAC). METHODS: One hundred two patients with histopathological...

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Detalles Bibliográficos
Autores principales:	Kaissis, Georgios, Ziegelmayer, Sebastian, Lohöfer, Fabian, Algül, Hana, Eiber, Matthias, Weichert, Wilko, Schmid, Roland, Friess, Helmut, Rummeny, Ernst, Ankerst, Donna, Siveke, Jens, Braren, Rickmer
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer International Publishing 2019
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797674/ https://www.ncbi.nlm.nih.gov/pubmed/31624935 http://dx.doi.org/10.1186/s41747-019-0119-0

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