Machine Learning–Based Survival Prediction Models for Progression-Free and Overall Survival in Advanced-Stage Hodgkin Lymphoma

Journal article

The CCI-Creative City Index was commissioned in 2010 by the Beijing Academy of Science & Technology's Beijing Research Center for the Science of Science. John Hartley was asked to develop a new creative global city index. The brief was to improve on the existing indexes with a specific focus on creative industries and the sources of creative development.\ud \ud This report, by John Hartley, Jason Potts, Trent MacDonald, with Chris Erkunt and Carl Kufleitner, sets out the new model we have developed, which we call the CCI Creative City Index (CCI-CCI). It presents the results of a pilot application of the index to six cities: London, Cardiff, Berlin, Bremen, Melbourne and Brisbane.\ud \ud The index incorporates many elements from other global and creative city indexes, but also adds several new dimensions relating to creative industries scope, micro-productivity, and the economy of attention.\ud \ud The report and Excel spreadsheets of index calculations can be found on this site

Authors: Rask Kragh Jørgensen, R; Bergström, F; Eloranta, S; Tang Severinsen, M; Bjøro Smeland, K

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: American Society of Clinical Oncology
• Journal: JCO Clinical Cancer Informatics
• Volume: 8
• Issue: 8
• Pages: e2300255-e2300255
• Publication date: 2024-04-01
• DOI: 10.1200/cci.23.00255
• EISSN: 2473-4276
• ISSN: 2473-4276
• Language: English
• Keywords: Medicine; Biology; Internal medicine; Overall survival; Computer science; Artificial intelligence; Hodgkin lymphoma; Lymphoma; Oncology; Progression-free survival; Stage (stratigraphy)