Fuzzy sets and decision making system for thyroid hormone profile

摘要

Automation of the analytical specimen processing tasks in clinical laboratories is provided by the laboratory information and automation systems integration of these Systems increase throughput, lower cost, improve and ensure quality standards, and store and keep data for knowledge maintenance and mining. Among several important tasks, a key one concerns data acquisition from analyzers and their processing and interpretation as well. Data interpretation and decision making is an especially complex task mostly performed by experts, and represent a major bottleneck in highly automated laboratories. This paper introduces a real-time knowledge based system whose purpose is to select analytical test results that must be audited by an expert from those results which are considered as coherent.