Publications by authors named "Zena Haddadin"
Front Oncol
September 2024
Article Synopsis
- The study focuses on the clinicopathological features and prognosis of placental site trophoblastic tumor (PSTT) and epithelioid trophoblastic tumor (ETT), conducting the largest analysis of these tumors to date using machine learning for treatment assessment and prognostic model development.
- The research utilized data from the SEER database, employing Cox regression analysis and five machine learning algorithms to predict 5-year survival rates, with the accuracy of these models validated through ROC curve analysis.
- Results indicated that while survival rates were similar across different tumor types, factors such as metastasis, age, and treatment type significantly influenced prognosis, with the Gradient Boosting classifier being the most accurate in predicting outcomes.
