gradient boosting machines (gbm)

What Are the Challenges in Using GBM for Neonatal Disorders?

While GBM is highly effective, it also has its challenges. One major issue is the need for large, high-quality datasets to train the models effectively. Additionally, these models can be complex and difficult to interpret, which can be a barrier to their clinical adoption. Efforts are ongoing to address these issues through better data collection and the development of more interpretable models.

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