Deep Ensemble Method for Healthcare Asset Mapping Using Geographical Information System and Hyperspectral Images of Tirupati Region

The ever-increasing capabilities of deep learning for image analysis and recognition have encouraged some researchers investigates potential benefits of merging Hyperspectral Images (HSI) and Geographic Information Systems (GIS) with deep learning in the healthcare industry. Healthcare is an ever-changing sector that constantly adopts new technologies to improve decision-making and patient service. This research digs into the role that GIS and Remote Sensing (RS) play in modern healthcare and their significance. By delivering data from faraway places and enabling spatial analysis, the combination of RS and GIS has transformed healthcare. This GIS & RS data will have the numerous quantity of data so big data analytics can be helpful for storing and retrieving of data. This analysis can open up a new possibility for better healthcare planning, disease management, and environmental health assessment based on the study area's population. This paper deals healthcare assets mapping based on the population and the study area of the Tirupati district hyperspectral image by applying the Deep Ensemble method.

@article{Bhargavi2024,
  title     = {Deep Ensemble Method for Healthcare Asset Mapping Using Geographical Information System and Hyperspectral Images of Tirupati Region},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {12},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {P. Bhargavi and T. Sarath and Gopichand G and G V Ramesh Babu and T Haritha and A. Vijaya Krishna},
  doi       = {10.14569/IJACSA.2024.0151213},
  url       = {https://doi.org/10.14569/IJACSA.2024.0151213}
}