Construction of Quality Monitoring System for Medical Scientific Research Projects Based on Big Data Technology
From the perspective of the whole life cycle management of big data technology scientific research projects,this paper discusses the use of big data technology to build a quality monitoring system for scientific research projects.Through the auxiliary submission in the project establishment stage,the process monitoring and intelligent early warning in the implementation stage,the intelligent acceptance and evaluation of the results in the closure stage,as well as the intelligent promotion and decision support for subsequent management and achievement transformation,the scientific research projects can be intelligently managed in all aspects such as topic selection and achievement application.Key technologies such as big data processing and analysis,deep learning and natural language processing,and intelligent decision support are adopted to enhance the scientific and accurate management of scientific researches,and promote the efficient transformation and application of scientific research achievements.
medical scientific research managementwhole life cyclebig data technology
NETL
NSTL
万方数据
