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, Sophie Schneiderbauer, Michael Lange, Diana Schweizer, Volker Heinemann, Claus Belka, Ranko Cadenovic, Laurence Buysse, Nicole Erickson, Michael Mueller, Karsten Kortuem, Maximilian Niyazi, Sebastian Marschner, Theres Fey

Open source

DOI
10.2196/16533
Published
2020-04-17
Container
Journal of Medical Internet Research
Publisher
JMIR Publications Inc.
Open access
unknown

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BibTeX

@article{allodium:10.2196/16533,
  title = {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},
  author = {Daniel Nasseh and Sophie Schneiderbauer and Michael Lange and Diana Schweizer and Volker Heinemann and Claus Belka and Ranko Cadenovic and Laurence Buysse and Nicole Erickson and Michael Mueller and Karsten Kortuem and Maximilian Niyazi and Sebastian Marschner and Theres Fey},
  year = {2020},
  journal = {Journal of Medical Internet Research},
  doi = {10.2196/16533},
  url = {https://doi.org/10.2196/16533}
}

RIS

TY  - JOUR
TI  - 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
AU  - Daniel Nasseh
AU  - Sophie Schneiderbauer
AU  - Michael Lange
AU  - Diana Schweizer
AU  - Volker Heinemann
AU  - Claus Belka
AU  - Ranko Cadenovic
AU  - Laurence Buysse
AU  - Nicole Erickson
AU  - Michael Mueller
AU  - Karsten Kortuem
AU  - Maximilian Niyazi
AU  - Sebastian Marschner
AU  - Theres Fey
PY  - 2020
JO  - Journal of Medical Internet Research
DO  - 10.2196/16533
UR  - https://doi.org/10.2196/16533
ER  - 

APA

Nasseh, D., Schneiderbauer, S., Lange, M., Schweizer, D., Heinemann, V., Belka, C., Cadenovic, R., Buysse, L., Erickson, N., Mueller, M., Kortuem, K., Niyazi, M., Marschner, S., & Fey, T. (2020). 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. Journal of Medical Internet Research. https://doi.org/10.2196/16533

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