Data-driven shared decision making on cancer treatment
Autor: | Saar Hommes, Felix Clouth, Ruben Vromans, Gijs Geleijnse, Steffen Pauws, Jeroen Vermunt, Lonneke van de Poll-Franse, Emiel Krahmer |
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Přispěvatelé: | Language, Communication and Cognition, Department of Methodology and Statistics, Medical and Clinical Psychology |
Zdroj: | Tilburg University-PURE Big Data |
Popis: | This poster gives an overview of the current NWO data2person project on data-driven shared decision making for cancer patients. Currently, (1) three systematic reviews have been carried out, (2) a prediction model for quality of life outcomes was created using latent-class analysis, (3) a prototype data-to-text system explaining these outcomes was developed and (4) a questionnaire measuring patients' information preferences with respect to personalized statistics is constructed. |
Databáze: | OpenAIRE |
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