Bias in Prediction Models to Identify Patients With Colorectal Cancer at High Risk for Readmission After Resection
- DOI
- 10.1200/cci.23.00194
- Published
- 2024-10
- Container
- JCO Clinical Cancer Informatics
- Publisher
- American Society of Clinical Oncology (ASCO)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1200/cci.23.00194,
title = {Bias in Prediction Models to Identify Patients With Colorectal Cancer at High Risk for Readmission After Resection},
author = {Mary M. Lucas and Mario Schootman and Jonathan A. Laryea and Sonia T. Orcutt and Chenghui Li and Jun Ying and Jennifer A. Rumpel and Christopher C. Yang},
year = {2024},
journal = {JCO Clinical Cancer Informatics},
doi = {10.1200/cci.23.00194},
url = {https://doi.org/10.1200/cci.23.00194}
}RIS
TY - JOUR TI - Bias in Prediction Models to Identify Patients With Colorectal Cancer at High Risk for Readmission After Resection AU - Mary M. Lucas AU - Mario Schootman AU - Jonathan A. Laryea AU - Sonia T. Orcutt AU - Chenghui Li AU - Jun Ying AU - Jennifer A. Rumpel AU - Christopher C. Yang PY - 2024 JO - JCO Clinical Cancer Informatics DO - 10.1200/cci.23.00194 UR - https://doi.org/10.1200/cci.23.00194 ER -
APA
Lucas, M. M., Schootman, M., Laryea, J. A., Orcutt, S. T., Li, C., Ying, J., Rumpel, J. A., & Yang, C. C. (2024). Bias in Prediction Models to Identify Patients With Colorectal Cancer at High Risk for Readmission After Resection. JCO Clinical Cancer Informatics. https://doi.org/10.1200/cci.23.00194
Source records
- crossref · retrieved 2026-09-25T08:30:40.874Z