Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing Patient Well-Being in Healthcare Through the Integration of IoT and Neural Network Subject The topic of the resource Healthcare; IoT systems; machine learning; patient monitoring; user-friendly interfaces Description An account of the resource 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. Creator An entity primarily responsible for making the resource Singh J.; Shelke N.A.; Upreti K.; Divakaran P.; Lingareddy N.; Deepika S. Source A related resource from which the described resource is derived Proceedings - 2024 International Conference on Emerging Innovations and Advanced Computing, INNOCOMP 2024, pp. 241-246. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/INNOCOMP63224.2024.00047" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/INNOCOMP63224.2024.00047</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205541532&amp;doi=10.1109%2FINNOCOMP63224.2024.00047&amp;partnerID=40&amp;md5=79f06348ccc77dcfcf2efb12099cc7c6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205541532&amp;doi=10.1109%2fINNOCOMP63224.2024.00047&amp;partnerID=40&amp;md5=79f06348ccc77dcfcf2efb12099cc7c6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037647-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singh J., School of Computer Science Engineering &amp; Technology, Bennett University, Greater Noida, India; Shelke N.A., School of Computer Science Engineering &amp; 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