Background Transfer learning is a form of machine learning where a pre-trained model trained on a specific task is reused as a starting point and tailored to another task in a different dataset. While transfer learning has garnered considerable attention in medical image analysis. its use for clinical non-image data is not well studied. Therefore. https://halohealthcarers.shop/product-category/oxygen-conservers/