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Predicting the Admission into Medical Studies in Germany: A Data Mining approach


Dominik Jung, Lorenz Kemper, Benedikt Kaempgen, Achim Rettinger



Veröffentlicht: Februar 2015
Buchtitel: KIT Scientific Working Papers
Kapitel: 27
Verlag: KIT, Karlsruhe
Erscheinungsort / Ort: Karlsruhe
Typ: KIT Scientific Working Papers

BibTeX

Kurzfassung
In Germany, the placement into medical studies programs is highly competitive. Even for excellent applicants success is uncertain. Tackling this uncertainty, the aim of this paper is to investigate the success of an application. Thus applicant data in the time from 2009 to 2012 was analyzed. The characteristics of the statistical patterns lead us to simple recommendations how to alter an application in order to succeed. Our results indicate that Data Mining can outperform personal predictions.

ISSN: 2194-1629
Weitere Informationen unter: Link

Projekt

SFB/Transregio 125



Forschungsgruppe

Wissensmanagement