Which Machine Learning Techniques are Commonly Used?
Several ML techniques are commonly used in neonatal care, including:
Supervised Learning: Used for tasks where the model is trained on labeled data, such as classifying different types of neonatal disorders. Unsupervised Learning: Applied to identify patterns in unlabeled data, such as clustering neonates with similar symptoms. Reinforcement Learning: Employed in adaptive algorithms that improve their performance by receiving feedback from their actions in a clinical setting.
