Realization of Conceptual Model of IT-Infrastructure of Technology of Differential Diagnostics of Clinical and Hematological Syndromes for Health Passport

2024

Closed access Metadata (CSL-JSON)
DOI 10.1109/ieeeconf61558.2024.10585450
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

Clinical and hematologic syndromes are a group of diseases that have both clinical manifestations and changes in the composition of blood and tissue fluids. Differential diagnosis of these syndromes requires a comprehensive approach, including the analysis of clinical symptoms, results of laboratory tests, instrumental methods and other data. This article describes the development of a software complex for diagnosing clinical and hematological syndromes for the electronic passport, which allows to automate the process of clinical decision support based on differential diagnosis algorithms and models of intellectual analysis of medical data. In the process of implementing the conceptual model of IT infrastructure of the technology of differential diagnosis of clinical and hematological syndromes for the health passport, new computational and analytical modules such as DataAsQuisition, DataPre-processing, Morphological_Classification and Ensembling were created.