Designing and modeling of crowdsourcing for optimizing the public healthcare informatics system in society 5.0 Pankaj Rahi, S. Kuzhaloli, E. Poornima, Dhruva Sreenivasa Chakravarthi, P. Vijayakumar Contemporary Applications of Data Fusion for Advanced Healthcare Informatics, 2023 Technology, communications, and social media have changed emergency and disaster response networks. These developments enable affected citizens to generate georeferenced real-time data on important events, fueling this new landscape. Detecting and investigating such events requires crowdsourcing and machine learning. Crowdsourcing generates, aggregates, and filters data, while automatic tools analyze publicly available data using information retrieval techniques. Crowdsourcing encourages and coordinates large-scale participation in many fields. Crowdsourcing useful data and human computation interchangeable knowledge will help public health informatics soon. These efforts will lower any nation's disease burden and healthcare costs. It advances sustainable development goals and milestones. This chapter proposes crowd-sourcing modeling to improve public health surveillance for communicable and non-communicable diseases. These efforts will lower any nation's disease burden and also improve sustainable development goals.
The Future of Blockchain Technology and the Internet of Things in Healthcare Niti Saxena, Dhruva Sreenivasa Chakravarthi, A. Narasima Venkatesh, Nupur Soni, Shashi Kant Proceedings of the 2022 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2022, 2022
Smart Healthcare System with Light-Weighted Blockchain System and Deep Learning Techniques Randeep Singh, Bilal Ahmed Mir, Lohith J. J, Dhruva Sreenivasa Chakravarthi, Adel R. Alharbi, et al. Computational Intelligence and Neuroscience, 2022 A radio communication sensor system is a collection of sensor modules that are connected to one another through wireless communication. It is common for them to be battery-powered and responsive to a nearby controller, referred to as the base station. They are capable of doing basic computations and transferring information to the base station in most scenarios. They are also in charge of transporting data from distant nodes, putting a burden on nodes with limited resources, and contributing to the quick depletion of energy in these nodes in the process. Nodes in close proximity to the base station are responsible for more than only detecting and sending data to the base station; they are also responsible for transmitting data from faraway nodes. To reward nodes that perform well, a protocol known as the Improved Fuzzy Inspired Energy Effective Protocol (IFIEEP) employs three separate sorts of nodes in order to provide more energy to those who do not. It takes into account the remaining node energy, the node's proximity to the base station, the node's neighbor concentration, and the node's centrality in a cluster when determining node viability. All of these assumptions are founded on a shaky understanding of the situation. Adaptive clustering must be applied to the most viable nodes in order to identify cluster leaders and transmit data to the base station, in addition to disseminating data across the rest of the network, in order to achieve success. In addition, the research provides proper heterogeneity parameters, which describe, among other things, the number of nodes as well as the starting energy of each node. The percentage gain in-network lifetime when compared to current approaches is minor for smaller numbers of supernodes; however, the percentage gain in the area covered 12.89 percent and 100% when more significant numbers of super nodes are used. These improvements in stability, residual energy, and throughput are accomplished by combining these improvements while also taking into consideration the previously neglected energy-intensive sensing energy aspect. The protocol that has been presented is meant to be used in conjunction with applications that make use of blockchain technology.
