Enhancing Healthcare Recommendations for Special Need Patients using Deep Learning and Blockchain Security

This paper describes a new way to use blockchain security and deep learning to make better healthcare proposals for people with special needs. Using deep learning techniques, this method gives outstanding prediction accuracy, precision, memory, and an amazing Area Under the Curve (AUC). It is necessary for reliable clinical decision support. Blockchain technology's unchangeable record and secure systems protect data privacy and ensure data accuracy. This solves important problems in healthcare data management. Additionally, homomorphic encryption safeguards patient privacy by enabling secure computations on safeguarded data, resulting in robust analytical insights. Edge artificial intelligence systems make platforms more flexible and scalable for real-time healthcare applications, which helps computers work more efficiently. Even with these changes, issues like following rules and making the blockchain work on a larger scale persist. To enhance the use of these technologies in hospital settings, researchers should concentrate on improving legal structures and blockchain systems in the future.