Smart Health Monitoring: The Application of IoT and AI For Real-time monitoring and patient centric care
The combination of artificial intelligence (AI) and the internet of things (IoT) resulted in the era of smart health monitoring. This article explores the seamless integration of IoT and AI technologies to provide real-time monitoring and patient-centered treatment in an evolving healthcare environment. Various real-time health data focuses from Internet of Things (IoT) gadgets, such as medical-grade screens and wearable sensors, offer new points of view on a person's physiological parameters and behaviors. These gadgets serve as the essential information collectors, quickly sending information to centralized stages. These systems' AI calculations filter approaching information at a speed and exactness never before achievable, permitting for the early discovery of patterns and irregularities. IoT and AI work together to extend the adequacy of information preparing and empower proactive, individualized healthcare interventions. Machine learning has the potential to anticipate potential health issues and give custom-made interventions by utilizing different datasets for model training. This approach advances a move from responsive to preventive healthcare practices. This approach is especially supportive within the administration of constant ailments since it can essentially make strides understanding results on the off chance that intervene early. With smart health monitoring, there are execution issues related to information security, ethics, and interoperability. The paper addresses these issues and offers potential arrangements to ensure the suitable integration of IoT and AI innovation in healthcare settings. With a center on values changing over time, this article offers a comprehensive analysis of worldly designs utilizing scatter plots. To imagine these worldly elements, we utilize a dataset that contains verifiable records of esteem changes for diverse factors and districts. Through investigation, we reveal designs, patterns, and peculiarities within the information that shed understanding on the basic reasons for these changes. The discoveries have centrality for different scholastic areas such as financial matters, horticulture, and natural thinks about, and give profitable experiences into the advancement of values. After that, scramble plots with personalized names, titles, and legends were made to appear how the values changed over time.
Authors
- Ankush Sharma (ORCID: https://orcid.org/0000-0002-9747-117X)
- Mansi Sharma (ORCID: https://orcid.org/0000-0001-9940-8724)
- Praveen Kumar
Institutions
- Datta Meghe Institute of Higher Education and Research (IN)
Publication Details
- Published
- 2024-11-23
- DOI
- https://doi.org/10.1109/icec59683.2024.10837196
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.71