Medical Information Mining-Based Visual Artificial Intelligence Emergency Nursing Management System

This study aims to design a set of the visual artificial intelligence system based on medical information mining for hospital emergency care management. A visual artificial intelligence emergency first aid nursing management system is designed by analyzing the needs of the emergency first aid nursing management system. The results show that system personnel allocation, comparative management, record management, query management analysis, basic setup analysis, nursing management basis, and nonfunctional requirements all need to be optimized for the emergency first aid management system. In this study, the comparative management module, log management module, and the query management module are designed, and the emergency first aid management system of different APP terminal functions in different modules is described in detail. The nursing document query business is tested, and the corresponding time of query of nursing assessment sheet, nurse shift record, nurse record, and physical sign observation sheet is 375.50 ms, 351.48 ms, 336.36 ms, and 245.57 ms, respectively. It shows that the visual artificial intelligence emergency nursing management system based on medical information mining can provide convenience for clinical work to a large extent and has potential application value in hospital emergency nursing work.

CNOT-based design and query management in quantum relational databases

In this work, we propose a complete design of a quantum relational multi-tables database. We illustrate how to perform basic and advanced queries to insert, update, delete and select records from single or joined digitized tables. A suggestion of a Quantum Query Language (QQL) is then addressed and we illustrate for a simple quantum database how QQL performs. We highlight the used scheme allowing to traduce the QQL semantics to the corresponding CNOT-based implementation and we underline the evolution of the amplitude of probability of the superposed states contained in the tables.