Cardiovascular Disease Preliminary Diagnosis Application Using SQL Queries: Filling Diagnostic Gaps in Resource-Constrained Environments

Cardiovascular Disease Preliminary Diagnosis Application Using SQL Queries: Filling Diagnostic Gaps in Resource-Constrained Environments

Cardiovascular diseases (CVDs) are chronic diseases associated with a high risk of mortality and morbidity. Early detection of CVD is crucial to initiating timely interventions, such as appropriate counseling and medication, which can effectively manage the condition and improve patient outcomes. Th...

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Bibliographic Details
Main Authors: Rafał Doniec, Eva Odima Berepiki, Natalia Piaseczna, Szymon Sieciński, Artur Piet, Muhammad Tausif Irshad, Ewaryst Tkacz, Marcin Grzegorzek, Wojciech Glinkowski
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
ontology
database
cardiovascular diseases
diagnosis
decision support systems
Online Access:https://www.mdpi.com/2076-3417/14/3/1320

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