Abstract
This research work is aimed at providing an AI diagnostic solution for small and medium-sized health facilities. The problem of medical resources shortages all over the world as a result of the growing population and the COVID-19 pandemic in recent years has become more serious than ever before. However, some evolutionary techniques such as big data, AI, and cloud computing have been leveraged to provide digital transformation solutions with increased productivity ability in certain industries. To prove that these techniques can bring benefits to small and medium health facilities by increasing productivity with faster, easier decision-making abilities. An end-to-end cloud data lakehouse-based solution will be designed and provisioned, and a CVDs patients dataset collected from the real world will be used for test and evaluation purposes. Through the research, the architecture of the solution with AI techniques will be designed, tested, and evaluated. The solution will be ready to be provisioned to the production-grade environment to help targeted health facilities make more efficient diagnosis decision-making and save more lives as possible.