arXiv Computer Science
arXiv Computer Science
Preprint
4 years ago

Conquery: an open source application to analyze high content healthcare data. (arXiv:2009.03304v1 [cs.DB])

Fabian Kovacs, Max Thonagel, Marion Ludwig, Alexander Albrecht, Hannes Priehn, Manuel Hegner, Dirk Enders, Lennart Hickstein, Maximilian von Knobloch, Anne Rothhardt, Jochen Walker
Background: Big data in healthcare must be exploited to achieve a substantial increase in efficiency and competitiveness. Especially the analysis of patient-related data possesses huge potential to considerably improve decision-making processes in the healthcare sector. Most analytical approaches used today are highly time- and resource-consuming. The presented software solution Conquery is an open source software tool providing advanced, but intuitive data analysis without the need for specialized statistical training. Results: Conquery is a column-oriented distributed timeseries database and analysis platform. Its main application is the analysis of per-person medical records by non-technical medical professionals. Complex analyses are realized in the Conquery frontend by dragging tree nodes into the query editor. Queries are evaluated by a bespoke distributed query-engine for medical records in a column-oriented fashion. We present a custom compression scheme to facilitate low response times that uses online calculated as well as precomputed metadata and data statistics. Conclusions: Conquery is an efficient and intuitive open source software for performant and secure data analysis and aims at supporting decision-making processes in the healthcare sector.

Publisher URL: http://arxiv.org/abs/2009.03304

DOI: arXiv:2009.03304v1

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.