Development of a Multivariable Machine Learning Model for the Prediction of Postoperative Ileus After Radical Cystectomy
Based on our data, ML models can effectively predict POI after RC, especially with logistic regression and random forest. The identification of relevant predictors may contribute meaningfully to potential applications in risk stratification and personalized care.
Authors
- Pushan Prabhakar
- Mahmoud Eldefrawy (ORCID: https://orcid.org/0000-0003-2704-1630)
- Sai Raghavendra Sridhar
- Yanjia Zhang (ORCID: https://orcid.org/0000-0001-8272-187X)
- Deerush Kannan Sakthivel (ORCID: https://orcid.org/0000-0002-6072-1745)
- Arjun Pon Avudaiappan
- Murugesan Manoharan
- Mohamed Javid Raja Iyub (ORCID: https://orcid.org/0000-0003-0486-0334)
Institutions
- Baptist Hospital of Miami (US)
- The University of Texas at Dallas (US)
- Florida International University (US)
- Baptist Health South Florida (US)
- Midwestern State University (US)
Publication Details
- Journal
- Journal of Surgical Oncology
- Published
- 2025-12-09
- DOI
- https://doi.org/10.1002/jso.70161
- Citations
- 1
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.01