| Popis: |
An essential component of a patient's follow-up is a medical record. It includes opinions, prescriptions, analyses, and all patient data of healthcare professionals. Process of sharing as well as managing this file involves a number of players, including patient, doctor, and pharmacist. Electronic medical record (EMR) can be accessed by any authorized individual from any location, and data are shared among various health service providers. Using blockchain machine learning techniques, this study proposes a novel method for personal health records (PHR) -based data analysis and network security enhancement. Variational Boltzmann spatio encoder neural networks were utilized for the data analysis of personal health records. The decentralized blockchain architecture enhances network security. Based on network security and data analysis, the experimental analysis is conducted in terms of random accuracy 81%, specificity55%, latency 62%, QoS 52%, and computational cost 41%. |
