Published on in Vol 22, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16533, first published .
Optimizing the Analytical Value of Oncology-Related Data Based on an In-Memory Analysis Layer: Development and Assessment of the Munich Online Comprehensive Cancer Analysis Platform

Optimizing the Analytical Value of Oncology-Related Data Based on an In-Memory Analysis Layer: Development and Assessment of the Munich Online Comprehensive Cancer Analysis Platform

Optimizing the Analytical Value of Oncology-Related Data Based on an In-Memory Analysis Layer: Development and Assessment of the Munich Online Comprehensive Cancer Analysis Platform

Daniel Nasseh   1, 2 , PhD ;   Sophie Schneiderbauer   1, 2 , MSc ;   Michael Lange   1, 3 , Dipl Ing ;   Diana Schweizer   2 , MSc ;   Volker Heinemann   1, 2, 4 , Prof Dr ;   Claus Belka   1, 4, 5 , Prof Dr ;   Ranko Cadenovic   6 , MSc ;   Laurence Buysse   6 , MSc ;   Nicole Erickson   2 , MSc ;   Michael Mueller   7 , PhD ;   Karsten Kortuem   7 , MD ;   Maximilian Niyazi   4, 5 , Prof Dr ;   Sebastian Marschner   4, 5 , MD ;   Theres Fey   2 , PhD

1 Comprehensive Cancer Center Munich, Munich, Germany

2 Comprehensive Cancer Center, Ludwig-Maximilians-Universität München, Munich, Germany

3 Comprehensive Cancer Center, Technical University Munich, Munich, Germany

4 German Cancer Consortium (DKTK, partner site Munich), German Cancer Research Center (DKFZ), Heidelberg, Germany

5 Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany

6 Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany

7 University Eye Hospital Munich, Munich, Germany

Corresponding Author: