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Authors:
Schiele, Saskia 
Document type:
Dissertation / Thesis 
Title:
Explainable Analytics in Medicine 
Subtitle:
A new approach to investigate individual patient data for the health economic evaluation of medical interventions 
Advisor:
Brieden, Andreas, Prof.-Dr. 
Referee:
Brieden, Andreas Prof.-Dr.; Steinhardt, Claudius Prof.-Dr. 
Date oral examination:
25.01.2021 
Publication date:
18.02.2021 
Year:
2021 
Pages (Book):
234 
Language:
Englisch 
Keywords:
explainable analytics, survival analysis, cluster-based survival analysis, geometric clustering, heterogeneity 
Abstract:
With the increased possibilities to collect and store data ('Big Data'), numerous popular methods have been presented for their analysis. For instance in the medical sector, data analysis is used to provide valuable data for health economic evaluations. However, it was widely overlooked, that most of the newly presented methods are accompanied by non-explainable results, due to so-called ’black box’ models. This is not acceptable in medical data analytics, including but not limited to the Genera...    »
 
Department:
Fakultät für Wirtschafts- und Organisationswissenschaften 
Institute:
WOW 1 - Institut für Controlling, Finanz- und Risikomanagement 
Chair:
Professur für Statistik, insbesondere Risikomanagement 
Open Access yes or no?:
Nein / No