What Are the Challenges in Achieving High Prediction Accuracy?
Achieving high prediction accuracy in cancer is challenging due to the following reasons:
1. Heterogeneity of Cancer: Cancer is not a single disease but a collection of related diseases with diverse genetic and molecular characteristics. 2. Limited Data: In many cases, the available data may be limited, affecting the model's ability to make accurate predictions. 3. Overfitting: Complex models may perform well on training data but poorly on new, unseen data. 4. Bias and Variability: Differences in data collection methods and patient populations can introduce bias and variability, affecting prediction accuracy.
