Enhancing Patient Well-Being in Healthcare Through the Integration of IoT and Neural Network
- Title
- Enhancing Patient Well-Being in Healthcare Through the Integration of IoT and Neural Network
- Creator
- Singh J.; Shelke N.A.; Upreti K.; Divakaran P.; Lingareddy N.; Deepika S.
- Description
- This study analyses the revolutionary integration of Internet of Things (IoT) structures in healthcare through a complete examination of outstanding case research. The first case study focuses on real-time patient fitness monitoring in a clinic setting. The suggested device utilizes an Internet of Things-ready device that has many sensors, including oxygen, pressure, and temperature sensors. The issues of forecasting patient health in advance are handled with the deployment of machine learning models, notably Artificial Neural Networks (ANN), Decision Trees (DT), and Support Vector Machines (SVM). The second case study analyses IoT's effect on patient-precise medication identification and remote fitness monitoring, uncovering issues associated with accessibility, pricing, and human interfaces. Proposed alternatives, which incorporates greater education, increased accessibility, and user-pleasant interfaces with robust technical assistance, have been evaluated with 30 patients over a three-month duration. The results reveal a great growth in impacted person health, along with heightened attention of periodic health monitoring. The results highlight how IoT technologies may transform healthcare procedures by offering pro-active solutions for patients' well-being. This study offers insightful information that may be used to solve practical issues, promote patient-centered solutions, and broaden the scope of the healthcare period. A significant step towards a patient-centered and technologically advanced healthcare environment, the successful outcomes validate the capacity for sustained innovation, cooperation, and improvement in the integration of IoT systems for optimal patient care. 2024 IEEE.
- Source
- Proceedings - 2024 International Conference on Emerging Innovations and Advanced Computing, INNOCOMP 2024, pp. 241-246.
- Date
- 2024-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Healthcare; IoT systems; machine learning; patient monitoring; user-friendly interfaces
- Coverage
- Singh J., School of Computer Science Engineering & Technology, Bennett University, Greater Noida, India; Shelke N.A., School of Computer Science Engineering & Technology, Bennett University, Greater Noida, India; Upreti K., CHRIST (Deemed to Be University), Department of Computer Science, Ghaziabad, India; Divakaran P., Himalayan University, Itanagar, India; Lingareddy N., Vignan Institute of Technology and Science, Department of CSE, Deshmukhi, India; Deepika S., Sreyas Institute of Engineering and Technology, Department of CSE, Hyderabad, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835037647-0
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Singh J.; Shelke N.A.; Upreti K.; Divakaran P.; Lingareddy N.; Deepika S., “Enhancing Patient Well-Being in Healthcare Through the Integration of IoT and Neural Network,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 26, 2025, https://archives.christuniversity.in/items/show/19114.