Probabilistic Graphical Models for Evaluating the Utility of Data-Driven ICD Code Categories in Pediatric Sepsis

Lourdes A. Valdez, Edgar Javier Hernandez, O’Connor Matthews, Matthew A. Mulvey, Hillary Crandall, Karen Eilbeck

Open source

DOI
10.1101/2024.10.01.24314724
Published
2024-10-02
Container
Not recorded
Publisher
openRxiv
Open access
unknown

Credibility signals

uncertain Score 60/100 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:10.1101/2024.10.01.24314724,
  title = {Probabilistic Graphical Models for Evaluating the Utility of Data-Driven ICD Code Categories in Pediatric Sepsis},
  author = {Lourdes A. Valdez and Edgar Javier Hernandez and O’Connor Matthews and Matthew A. Mulvey and Hillary Crandall and Karen Eilbeck},
  year = {2024},
  doi = {10.1101/2024.10.01.24314724},
  url = {https://doi.org/10.1101/2024.10.01.24314724}
}

RIS

TY  - JOUR
TI  - Probabilistic Graphical Models for Evaluating the Utility of Data-Driven ICD Code Categories in Pediatric Sepsis
AU  - Lourdes A. Valdez
AU  - Edgar Javier Hernandez
AU  - O’Connor Matthews
AU  - Matthew A. Mulvey
AU  - Hillary Crandall
AU  - Karen Eilbeck
PY  - 2024
DO  - 10.1101/2024.10.01.24314724
UR  - https://doi.org/10.1101/2024.10.01.24314724
ER  - 

APA

Valdez, L. A., Hernandez, E. J., Matthews, O., Mulvey, M. A., Crandall, H., & Eilbeck, K. (2024). Probabilistic Graphical Models for Evaluating the Utility of Data-Driven ICD Code Categories in Pediatric Sepsis. https://doi.org/10.1101/2024.10.01.24314724

Source records