The Diagnostic Flow Framework: Engineering-Based Classification of Cardiovascular Diseases Through Multi-Domain Feature Architecture

The Diagnostic Flow Framework (DFF) is a multi-domain cardiovascular disease classification architecture that integrates Electrical, Mechanical, Chemical, and Hydraulic diagnostic features into a unified scoring framework. This review paper presents the conceptual design, diagnostic feature taxonomy, domain-weight matrix, severity classification methodology, and comparison with existing cardiovascular scoring systems. The framework is intended to support clinical decision support systems, medical education, and future explainable artificial intelligence applications in cardiovascular healthcare. The work is supported by the accompanying Cardiovascular Disease Taxonomy and Scoring Dataset available through Zenodo.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-09
DOI
https://doi.org/10.5281/zenodo.20601531
Primary Topic
ECG Monitoring and Analysis
Type
preprint
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preprint

The Diagnostic Flow Framework: Engineering-Based Classification of Cardiovascular Diseases Through Multi-Domain Feature Architecture

Fatimah Alabsi
Zenodo (CERN European Organization for Nuclear Research)
ECG Monitoring and Analysis
preprint

The Diagnostic Flow Framework: Engineering-Based Classification of Cardiovascular Diseases Through Multi-Domain Feature Architecture

Fatimah Alabsi
preprint en

Abstract

The Diagnostic Flow Framework (DFF) is a multi-domain cardiovascular disease classification architecture that integrates Electrical, Mechanical, Chemical, and Hydraulic diagnostic features into a unified scoring framework. This review paper presents the conceptual design, diagnostic feature taxonomy, domain-weight matrix, severity classification methodology, and comparison with existing cardiovascular scoring systems. The framework is intended to support clinical decision support systems, medical education, and future explainable artificial intelligence applications in cardiovascular healthcare. The work is supported by the accompanying Cardiovascular Disease Taxonomy and Scoring Dataset available through Zenodo.

Zenodo (CERN European Organization for Nuclear Research)
King Faisal University (SA)
Peace, Justice and strong institutions
ECG Monitoring and Analysis
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