IoT-Powered Health Monitoring System for Protecting Vital Organs Through Cloud-Based Diagnosis
- Title
- IoT-Powered Health Monitoring System for Protecting Vital Organs Through Cloud-Based Diagnosis
- Creator
- Singh, Jagendra; Saraswat, Mala; Upreti, Kamal; Agrawal, Gaurav; Hasan, Dler Salih; Shaik, Nazeer
- Description
- The main objective of this research was the development and evaluation of an IoT- and machine learning-based health monitoring system capable of protecting patients vital organs through cloud diagnosis. This could be achieved by connecting a set of sensors, including temperature, pressure, heart rate, and oxygen sensors, to the patient and allowing them to communicate with the cloud to transmit real-time data via IoT technologies. The data could be further analyzed and predicted using cloud-based machine learning algorithms. This study investigated the performance of different machine learning models, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Naive Bayes (NB), and Negative Decision Trees (DT), for the purpose of patients health prediction based on the sensor data. After experimentation and evaluation, we found that the ANN model demonstrated the best predictive ability, with an accuracy level of 99.45%. The SVM, NB, and DT models also demonstrated good performance, with the accuracies of 96.5%, 94.34%, and 91.2%, respectively. Therefore, this research demonstrated that IoT and machine learning technologies could be successfully employed in healthcare for remote patient monitoring and timely prediction. The created system allows for real-time monitoring, which enables early prediction, potentially leading to improved patient outcomes, cost savings, and higher efficiency of provided care. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
- Source
- Lecture Notes in Electrical Engineering;Volume;1269;pp.169-181
- Date
- 01-01-2025
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Cloud-based diagnosis; Health monitoring; IoT; Machine learning; Sensor technology
- Coverage
- Singh J., School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India; Saraswat M., School of Computer Science Engineering & Technology, Bennett University, Greater Noida, India; Upreti K., Department of Computer Science, CHRIST (Deemed to be University), Delhi-NCR, Ghaziabad, India; Agrawal G., Department of Computer Science Engineering (AI), KIET Group of Institution, Ghaziabad, India; Hasan D.S., Department of Computer Science & Information Tech., University of Salahaddin-Erbil, Erbil, Iraq; Shaik N., Department of Computer Science & Engineering, Srinivasa Ramanujan Institute of Technology Autonomous, Anantapur, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISSN: 18761100; ISBN: 978-981979514-7;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Singh, Jagendra; Saraswat, Mala; Upreti, Kamal; Agrawal, Gaurav; Hasan, Dler Salih; Shaik, Nazeer, “IoT-Powered Health Monitoring System for Protecting Vital Organs Through Cloud-Based Diagnosis,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25680.