Concurrent Prediction of Length of Stay, Mortality, and Total Charges in Patients with Acute Lymphoblastic Leukemia Using Continuous Machine Learning

Jiahui Ma, Elizabeth Johnson, Bradley M. Whitaker, Faraz Dadgostari, Hansjorg Schwertz, Bernadette McCrory

Open source

DOI
10.3390/informatics13040047
Published
2026-03-24
Container
Informatics
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.3390/informatics13040047,
  title = {Concurrent Prediction of Length of Stay, Mortality, and Total Charges in Patients with Acute Lymphoblastic Leukemia Using Continuous Machine Learning},
  author = {Jiahui Ma and Elizabeth Johnson and Bradley M. Whitaker and Faraz Dadgostari and Hansjorg Schwertz and Bernadette McCrory},
  year = {2026},
  journal = {Informatics},
  doi = {10.3390/informatics13040047},
  url = {https://doi.org/10.3390/informatics13040047}
}

RIS

TY  - JOUR
TI  - Concurrent Prediction of Length of Stay, Mortality, and Total Charges in Patients with Acute Lymphoblastic Leukemia Using Continuous Machine Learning
AU  - Jiahui Ma
AU  - Elizabeth Johnson
AU  - Bradley M. Whitaker
AU  - Faraz Dadgostari
AU  - Hansjorg Schwertz
AU  - Bernadette McCrory
PY  - 2026
JO  - Informatics
DO  - 10.3390/informatics13040047
UR  - https://doi.org/10.3390/informatics13040047
ER  - 

APA

Ma, J., Johnson, E., Whitaker, B. M., Dadgostari, F., Schwertz, H., & McCrory, B. (2026). Concurrent Prediction of Length of Stay, Mortality, and Total Charges in Patients with Acute Lymphoblastic Leukemia Using Continuous Machine Learning. Informatics. https://doi.org/10.3390/informatics13040047

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