Enhancing Service Quality in Healthcare Systems Through Deep Learning

In recent years, there has been a growing need for effective system health management in various industries, including aerospace, manufacturing, and healthcare. The use of deep learning for the analysis and diagnosis of biomedical and healthcare problems has received unprecedented attention in the last decade. This technique has so far produced several achievements that have made it difficult to discover meaningful features by other methods and human experts as a promising approach to deal with these challenges. DL is a type of machine learning algorithm with multiple layers of similar functions stacked in the network and has the capability to create meaning from medical big data. These algorithms can learn to identify patterns indicative of diseases, helping physicians make more accurate diagnoses and potentially reducing errors. deep learning models can extract and classify relevant information from Electronic Health Records.