投票
控制(管理)
质量(理念)
计算机科学
风险分析(工程)
运筹学
质量控制
运营管理
业务
控制系统
作者
Yuan Liu,Hexiang Zheng,Wanying Zhang,Zhiye Xu,Jie Yu,Hongyan Song,Changgui Gu,Yuxin Chen
标识
DOI:10.1016/j.cca.2024.119821
摘要
Patient-Based Real-Time Quality Control (PBRTQC) has emerged as a supplementary programme to traditional internal quality control (iQC) mechanisms. Despite its growing popularity, practical applications in clinical settings reveal several challenges. The primary objective of this research is to introduce and develop an Artificial Intelligence (AI)-based method, named Voting algorithm based iQC (ViQC), designed to enhance the precision and reliability of existing PBRTQC systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI