What Challenges Exist in Developing Predictive Models?
Developing predictive models in neonatal care comes with several challenges:
- Data Quality: Incomplete or inaccurate data can skew results. - Ethical Concerns: Ensuring data privacy and ethical use of genetic information. - Model Interpretability: Complex models like neural networks can be hard to interpret, making it difficult to understand how predictions are made. - Generalizability: Models trained on specific populations may not perform well on others.
