A Concept for Mining Transitive Sequential Patterns from Pancreatic Cancer Patient Journeys

Jonas Hügel, Unknown, Jan Janosch Schneider, Daniel Tran Ortega, Ella Maria Jentsch, Sophia Rheinländer, Nils Hendrik Beyer, Hossein Estiri, Christoph Ammer-Hermenau, Elisabeth Hessmann, Alexander Otto König, Volker Ellenrieder, Ulrich Sax

Open source

DOI
10.3233/shti240862
Published
2024-08-30
Container
Studies in Health Technology and Informatics
Publisher
IOS Press
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3233/shti240862,
  title = {A Concept for Mining Transitive Sequential Patterns from Pancreatic Cancer Patient Journeys},
  author = {Jonas Hügel and Unknown and Jan Janosch Schneider and Daniel Tran Ortega and Ella Maria Jentsch and Sophia Rheinländer and Nils Hendrik Beyer and Hossein Estiri and Christoph Ammer-Hermenau and Elisabeth Hessmann and Alexander Otto König and Volker Ellenrieder and Ulrich Sax},
  year = {2024},
  journal = {Studies in Health Technology and Informatics},
  doi = {10.3233/shti240862},
  url = {https://doi.org/10.3233/shti240862}
}

RIS

TY  - JOUR
TI  - A Concept for Mining Transitive Sequential Patterns from Pancreatic Cancer Patient Journeys
AU  - Jonas Hügel
AU  - Unknown
AU  - Jan Janosch Schneider
AU  - Daniel Tran Ortega
AU  - Ella Maria Jentsch
AU  - Sophia Rheinländer
AU  - Nils Hendrik Beyer
AU  - Hossein Estiri
AU  - Christoph Ammer-Hermenau
AU  - Elisabeth Hessmann
AU  - Alexander Otto König
AU  - Volker Ellenrieder
AU  - Ulrich Sax
PY  - 2024
JO  - Studies in Health Technology and Informatics
DO  - 10.3233/shti240862
UR  - https://doi.org/10.3233/shti240862
ER  - 

APA

Hügel, J., Unknown, Schneider, J. J., Ortega, D. T., Jentsch, E. M., Rheinländer, S., Beyer, N. H., Estiri, H., Ammer-Hermenau, C., Hessmann, E., König, A. O., Ellenrieder, V., & Sax, U. (2024). A Concept for Mining Transitive Sequential Patterns from Pancreatic Cancer Patient Journeys. Studies in Health Technology and Informatics. https://doi.org/10.3233/shti240862

Source records