Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets.

Chen JH, Goldstein MK, Asch SM, Mackey L, Altman RB

DOI: 10.1093/jamia/ocw136
Published: 2017 May 1
Container: Journal of the American Medical Informatics Association : JAMIA
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/jamia/ocw136,
  title = {Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets.},
  author = {Chen JH and Goldstein MK and Asch SM and Mackey L and Altman RB},
  year = {2017},
  journal = {Journal of the American Medical Informatics Association : JAMIA},
  doi = {10.1093/jamia/ocw136},
  url = {https://doi.org/10.1093/jamia/ocw136}
}

RIS

TY  - JOUR
TI  - Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets.
AU  - Chen JH
AU  - Goldstein MK
AU  - Asch SM
AU  - Mackey L
AU  - Altman RB
PY  - 2017
JO  - Journal of the American Medical Informatics Association : JAMIA
DO  - 10.1093/jamia/ocw136
UR  - https://doi.org/10.1093/jamia/ocw136
ER  -

APA

JH, C., MK, G., SM, A., L, M., & RB, A. (2017). Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets.. Journal of the American Medical Informatics Association : JAMIA. https://doi.org/10.1093/jamia/ocw136

Source records

pubmed · retrieved 2026-09-26T10:52:11.713Z