Applied Clinical Informatics, Table of Contents Appl Clin Inform 2010; 01(01): 38-49DOI: 10.4338/ACI-2009-12-RA-0026 Research Article Schattauer GmbH Developing a multivariable prognostic model for pancreatic endocrine tumors using the clinical data warehouse resources of a single institution Authors Author Affiliations Taxiarchis Botsis 1 Department of Biomedical Informatics, Columbia University, New York, NY, USA 2 Department of Computer Science, University of Tromsø, Norway Valsamo K. Anagnostou 3 Department of Pathology, Yale University School of Medicine, New Haven, CT, USA Gunnar Hartvigsen 2 Department of Computer Science, University of Tromsø, Norway George Hripcsak 1 Department of Biomedical Informatics, Columbia University, New York, NY, USA Chunhua Weng 1 Department of Biomedical Informatics, Columbia University, New York, NY, USA Recommend Article Abstract Full Text PDF Download(opens in new window) Keywords KeywordsData repositories - Data mining - Pancreatic endocrine tumors - Prognosis - Electronic health records References References 1 Halfdanarson TR, Rubin J, Farnell MB, Grant CS, Petersen GM. Pancreatic endocrine neoplasms: epidemiology and prognosis of pancreatic endocrine tumors.. Endocr Relat Cancer 2008; 15: 409. 2 Kimura W, Kuroda A, Morioka Y. Clinical pathology of endocrine tumors of the pancreas. Analysis of autopsy cases.. Dig Dis Sci 1991; 36: 933. 3 Grimelius L, Hultquist GT, Stenkvist B. 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