Artificial Intelligence Enabled Secure Blockchain for Healthcare Application and Systems

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Exploring advances in security and privacy for healthcare ecosystems using AI-driven blockchain technology

The application of artificial intelligence and the Internet of Things has enabled the transformation of physical education and health quality, as well as the detection of chronic diseases and the diagnosis of cardiovascular diseases. In addition, blockchain technology is being used to monitor and research college students' physical fitness data, and machine learning is being used to develop a COVID-19 prediction model and a secure and immutable way to share Electronic Healthcare Records (EHR).

In order to improve physical education and health quality, virtual simulation technology and Kinect algorithm are being used to design virtual sports simulation teaching modes. Moreover, inflection points from derivatives waveforms are being used to detect fiducial points of photoplethysmogram (PPG) in order to diagnose cardiovascular disease. Furthermore, genetic algorithms are being used to analyze the network organization structure of enterprise information security management.

In addition, positive psychology is being used to help cancer patients cope with the disease and improve their quality of life. Furthermore, a nomogram is being constructed to predict the lymphatic metastasis in Ewing's sarcoma (ES) patients, and a support vector machine (SVM) classifier is being used to predict postoperative recollapse. Finally, Augmented Reality (AR) is being used to identify drugs and their categories, and a dynamic evaluation system is being developed to support students' mental health. Sentiment Analysis (SA) is also being used to measure emotions or attitudes behind a written text.

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