Machine learning, neutral networks, and deep learning are examples of the most important artificial intelligence in healthcare. Precision medicine is the best traditional machine learning application for predicting successful treatment for a patient based on attributes and context (Davenport & Kalakota, 2019). Supervised learning is necessary because it
assists in the training of datasets that lead to the outcome variable using precision medicine and machine learning The neural network is a complex technology that has been around since the 1960s and is well established in research, and its application aids in determining whether a patient will be acquired based on a specific disease.
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