Functional Model of the Clinical and Hematological Syndromes Diagnosis

2023

Closed access Metadata (CSL-JSON)
DOI 10.1109/ismsit58785.2023.10304903
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

The purpose of this article is to show that the existing modeling language, Integration Definition for Function Modeling (IDEF0), is applicable for structuring and automating the process of diagnosing clinical hematological syndrome. This method comprehensively analyzes the process of diagnosing the disease. Process decomposition helps to consider the relationship between its internal functions and the relationship with external elements. The developed functional model, being the basis of the structure of the medical decision-making system, leads to increased efficiency of the process of diagnosing anemia and minimizing medical errors.