An Enhanced Analysis of Cloud-Based Deep Learning Model in Smart Healthcare Management
Tejaswi Khanna, Sonali Mathur · 2024
Cloud-based Deep learning of models has been widely applied in intelligent healthcare management to deliver improved diagnostics and analytics for advanced patient outcomes. The aim of this research is to assess the cloud based Totally Deep system's performance more thoroughly and familiarize oneself with the model across a range of healthcare scenarios. The model can be assessed based on its capacity to predict outcomes largely from an affected person's clinical history and records, as well as its ability to accurately diagnose conditions unique to each affected person. Accuracy, time efficiency, and scalability could also be used to evaluate the version's performance. The findings of this study will help to enhance more intelligent predictive healthcare analytics for improved patient outcomes in real-world packages.