What Are the Challenges in Using Pysurvival for Cancer Research?
Despite its powerful features, there are challenges in using Pysurvival for cancer research. These include the necessity of high-quality, comprehensive datasets, the complexity of correctly modeling interactions between multiple prognostic factors, and the need for domain expertise to accurately interpret the results. Additionally, the heterogeneity of cancer types and patient responses adds layers of complexity to the analysis.
