A Parallel Patient Treatment Time Prediction Algorithm and Its Applications in Hospital Queuing-Recommendation in a Big Data Environment

A Parallel Patient Treatment Time Prediction Algorithm and Its Applications in Hospital Queuing-Recommendation in a Big Data Environment is a report that focuses on the importance of patient treatment time prediction. The patient treatment time prediction can easily help in predicting the necessary time that is essential in treating a particular patient. It can also help in avoiding the waiting time that is for the patients in the hospitals. It can implementable in hospitals and clinics easily. It can also help in an efficient treatment and know the anticipated time that is essential for knowing the updates of the patient treatment. The users can free download abstract, synopsis on pdf to understand the effects of a parallel patient treatment time prediction algorithm and its applications in hospital queuing-recommendation in a big data environment

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Topics Covered:
01)Introduction
02)Objectives, ER Diagram
03)Flow Chats, Algorithms used
04)System Requirements
05)Project Screenshots
06)Conclusion, References