Machine Learning Risk Stratification Approach Using Patient-Reported Outcomes for Forecasting Unplanned Health Care Use and Symptom Burden in Cancer Survivors.
- DOI
- 10.1200/cci-25-00389
- Published
- 2026 Apr
- Container
- JCO clinical cancer informatics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1200/cci-25-00389,
title = {Machine Learning Risk Stratification Approach Using Patient-Reported Outcomes for Forecasting Unplanned Health Care Use and Symptom Burden in Cancer Survivors.},
author = {Natori A and Bonnell JR and Stathias V and Fleszar-Pavlovic SE and Ogihara M and Wang A and Vadapalli R and Noriega Esquives BS and Crane TE and Penedo FJ},
year = {2026},
journal = {JCO clinical cancer informatics},
doi = {10.1200/cci-25-00389},
url = {https://doi.org/10.1200/cci-25-00389}
}RIS
TY - JOUR TI - Machine Learning Risk Stratification Approach Using Patient-Reported Outcomes for Forecasting Unplanned Health Care Use and Symptom Burden in Cancer Survivors. AU - Natori A AU - Bonnell JR AU - Stathias V AU - Fleszar-Pavlovic SE AU - Ogihara M AU - Wang A AU - Vadapalli R AU - Noriega Esquives BS AU - Crane TE AU - Penedo FJ PY - 2026 JO - JCO clinical cancer informatics DO - 10.1200/cci-25-00389 UR - https://doi.org/10.1200/cci-25-00389 ER -
APA
A, N., JR, B., V, S., SE, F., M, O., A, W., R, V., BS, N. E., TE, C., & FJ, P. (2026). Machine Learning Risk Stratification Approach Using Patient-Reported Outcomes for Forecasting Unplanned Health Care Use and Symptom Burden in Cancer Survivors.. JCO clinical cancer informatics. https://doi.org/10.1200/cci-25-00389
Source records
- pubmed · retrieved 2026-09-25T07:40:17.158Z