Smart Management Based on Deep Data Analysis for Digital Healthcare

Healthcare is a universally necessary industry for people at all times, and its wise administration is crucial. The reasonable planning and distribution of healthcare items serves as a crucial component of smart digital healthcare since significant technical advancement depends on sustained efforts and ongoing development. The fluctuating price of healthcare items is by far the most obvious element influencing distribution. By anticipating pricing changes, one may streamline the distribution of healthcare supplies and open the door to intelligent digital healthcare. The majority of academics just compare the costs of various healthcare products in isolation, never taking into account how those products interact over time. This chapter presents deep data analysis–oriented healthcare product administration for digital healthcare (abbreviated as GNN-HM) and provides a representative deep learning framework termed Graph-Neural-Network-(GNN) for this purpose. The key feature of GNN-HM is that it models changing rules of price sequences while taking latent correlations among various types of healthcare goods into account. Using actual market data for healthcare products, a case study is built up. Simulated findings show that the intended GNN-HM performs as intended.