Data Science
Analysis of Bone Marrow Transplant in Children
Machine learning analysis of survival factors in pediatric bone marrow transplants.
2023 - 2023Completed
About This Project
Analyzed patterns and key factors affecting survival rates in children undergoing hematopoietic stem cell transplantation (HSCT) using supervised machine learning models. The study identified important clinical predictors influencing post-transplant outcomes.
Technologies Used
PythonPandasScikit-learnMatplotlibSeaborn
Key Achievements
- Identified key clinical predictors for survival
- Applied machine learning to medical data
- Comprehensive analysis of HSCT outcomes