IoT-Enabled Smart System for Personalized Health Management with Semantic Technologies
The current world could be a critical representation of the exceptionally speedy improvement of electronic and data innovation. Wellbeing frameworks are not exempt from the consistent changes happening within the industry. For analysts, specialists, and patients, all these modern innovations are opening up a world of unused potential and challenges. The Web of Things is one of the advances that has been brought into the healthcare industry with extraordinary guarantee. These days, a parcel of restorative contraptions and sensors are associated to the Web of Things, giving shoppers real-time control over their wellbeing and specialists the capacity to appropriately screen their patients' conditions from a separate. The failure to effectively coordinated approaching information from heterogeneous sources, share information collected viably and productively whereas keeping up its security and protection, extricate valuable data from this information utilizing proficient information examination apparatuses, and perform expressive and customized visualizations are right now hindering the effective accomplishment of tall quality in wellbeing care hone. We too present the SM-IoT stage, an cleverly, internet-of-things-based, and customized health care stage energetic to progress farther understanding observing in arrange to supply patients with easier-to-access and more successful healthcare. The objective of SM-IoT is to assemble information from different sources of data, get it from relevant sources, combine it employing a adaptable semantic web, store it within the cloud for extra analysis, visualize it utilizing user-friendly interfacing, and make sharing of the information less demanding whereas keeping protection in mind. The wellbeing care division has changed to supply more quick and individualized restorative medicines much obliged to the quick growing Web of Things innovation. This particular study presents a novel Shrewd IoT stage that employments semantic advances to supply individualized health monitoring, giving real-time wellbeing benefit precision and well-being evaluations.
Authors
- R. Marimuthu
- K. Vinoth Kumar (ORCID: https://orcid.org/0000-0002-3009-1658)
- Ammar Hameed Shnain (ORCID: https://orcid.org/0000-0002-6991-4607)
- B. Gayathri
- Arelli Madhavi
- S Keerthana
Institutions
- Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
- Iraqi University (IQ)
- CMR University (IN)
- Saveetha University (IN)
Publication Details
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1109/ic363308.2025.10957452
- Citations
- 1
- Primary Topic
- Engineering Education and Technology
- Type
- article
- Field-Weighted Citation Impact
- 3.25