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Autoren:
Schiele, Saskia 
Dokumenttyp:
Dissertation / Thesis 
Titel:
Explainable Analytics in Medicine 
Untertitel:
A new approach to investigate individual patient data for the health economic evaluation of medical interventions 
Betreuer:
Brieden, Andreas, Univ.-Prof.-Dr. 
Gutachter:
Brieden, Andreas, Univ.-Prof.-Dr.; Steinhardt, Claudius, Univ.-Prof.-Dr. 
Tag der mündlichen Prüfung:
25.01.2021 
Publikationsdatum:
18.02.2021 
Jahr:
2021 
Seiten (Monografie):
234 
Sprache:
Englisch 
Schlagwörter:
Gesundheitsökonomie ; Krankenunterlagen ; Datenanalyse ; Cluster-Analyse ; Schizophrenie ; Therapieerfolg ; Prognose ; Hochschulschrift 
Stichwörter:
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...    »
 
DDC-Notation:
338.473621 
Fakultät:
Fakultät für Wirtschafts- und Organisationswissenschaften 
Institut:
WOW 1 - Institut für Controlling, Finanz- und Risikomanagement 
Professur:
Brieden, Andreas 
Open Access ja oder nein?:
Ja / Yes