Modern IoHT combines health-related items like sensors and remotely monitored healthcare equipment for patient data evaluation and management. The integration of 5G and blockchain enhances this system’s capabilities. Blockchain ensures secure data storage and exchange, benefiting various healthcare aspects such as monitoring equipment, clinical trial data, mobile health apps, electronic health records, and insurance data. The proposed framework utilizes medical devices to collect patient data, which is kept on an online database along with pertinent health information. 5G and blockchain technology facilitate secure, high-speed data transmission. An Artificial Neural Network (NN) is employed to predict diseases and their severity. Various classifiers are compared, with the NN classifier achieving a 98.98% accuracy rate. This trained NN provides more accurate and intelligent predictions compared to traditional classifiers.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Block-Chain Technology in Smart Telemedicine Using IoT

  • B. Ravi Chandra,
  • B. Tanusree,
  • Y. Sri Ramani,
  • Y. Sowjanya,
  • Amjan Shaik

摘要

Modern IoHT combines health-related items like sensors and remotely monitored healthcare equipment for patient data evaluation and management. The integration of 5G and blockchain enhances this system’s capabilities. Blockchain ensures secure data storage and exchange, benefiting various healthcare aspects such as monitoring equipment, clinical trial data, mobile health apps, electronic health records, and insurance data. The proposed framework utilizes medical devices to collect patient data, which is kept on an online database along with pertinent health information. 5G and blockchain technology facilitate secure, high-speed data transmission. An Artificial Neural Network (NN) is employed to predict diseases and their severity. Various classifiers are compared, with the NN classifier achieving a 98.98% accuracy rate. This trained NN provides more accurate and intelligent predictions compared to traditional classifiers.