DOAJ Open Access 2023

A Secure IoT-Cloud Based Remote Health Monitoring for Heart Disease Prediction Using Machine Learning and Deep Learning Techniques

Sibo Prasad Patro Neelamadhab Padhy

Abstrak

The Internet of Things (IoT) refers to a network of interconnected devices as well as technology that enables objects to communicate with one another and the cloud for modern medical treatment. To analyze and handle remotely collected electronic clinical records, it is important to create a disease prediction model with increased accuracy. An RHMIoT framework is proposed in a secure cloud context using lightweight block encryption and decryption approaches. The accuracy levels of cardiac disease are calculated using machine learning and deep learning methods. The ensemble voting classifier provided the greatest accuracy of 95%.

Topik & Kata Kunci

Engineering machinery, tools, and implements

Penulis (2)

Sibo Prasad Patro

Neelamadhab Padhy

Format Sitasi

APA MLA BibTeX

Patro, S.P., Padhy, N. (2023). A Secure IoT-Cloud Based Remote Health Monitoring for Heart Disease Prediction Using Machine Learning and Deep Learning Techniques. https://doi.org/10.3390/ASEC2023-16580

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Informasi Jurnal

Tahun Terbit: 2023
Sumber Database: DOAJ
DOI: 10.3390/ASEC2023-16580
Akses: Open Access ✓