An AI-driven Predictive Model for Pancreatic Cancer Patients Using Extreme Gradient Boosting
Abstract Pancreatic cancer is one of the deadliest carcinogenic diseases affecting people all over the world. The majority of patients are usually detected at Stage III or Stage IV, and the chances of survival are very low once detected at the late stages. This study focuses on building an efficient...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2023-09-01
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| Series: | Journal of Statistical Theory and Applications (JSTA) |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44199-023-00063-7 |