Publications by authors named "Pellakuri Vidyullatha"
Wireless Sensor Networks present a significant issue for data routing because of the potential use of obtaining data from far locations with greater energy efficiency. Networks have become essential to modern concepts of the Internet of Things. The primary foundation for supporting diverse service-centric applications has continued to be the sensor node activity of both sensing phenomena in their local environs and relaying their results to centralized Base Stations.
View Article and Find Full Text PDFEnhanced ovarian cancer survival prediction using temporal analysis and graph neural networks.
BMC Med Inform Decis Mak
October 2024
Article Synopsis
- Ovarian cancer poses a significant health challenge, and the study introduces a new method using Temporal Analysis and Graph Neural Networks (GNNs) to improve survival predictions, addressing limitations in existing methods.
- The proposed approach shows notable improvements over previous methods, including an 8.3% gain in precision and reduced prediction latency by 2.9%, by leveraging longitudinal patient data to identify trends and complex interactions in clinical information.
- The results have practical implications, allowing healthcare professionals to customize treatment plans and enhance patient care through better understanding and collaboration facilitated by the model's interpretability.