Version 1
: Received: 20 January 2024 / Approved: 22 January 2024 / Online: 22 January 2024 (07:48:14 CET)
How to cite:
Deouskar, A.; Agrawal, D. A Novel Mathematical Approach with a Correlating Computational Framework for Precisifying Aneurysmal Therapeutics. Preprints2024, 2024011564. https://doi.org/10.20944/preprints202401.1564.v1
Deouskar, A.; Agrawal, D. A Novel Mathematical Approach with a Correlating Computational Framework for Precisifying Aneurysmal Therapeutics. Preprints 2024, 2024011564. https://doi.org/10.20944/preprints202401.1564.v1
Deouskar, A.; Agrawal, D. A Novel Mathematical Approach with a Correlating Computational Framework for Precisifying Aneurysmal Therapeutics. Preprints2024, 2024011564. https://doi.org/10.20944/preprints202401.1564.v1
APA Style
Deouskar, A., & Agrawal, D. (2024). A Novel Mathematical Approach with a Correlating Computational Framework for Precisifying Aneurysmal Therapeutics. Preprints. https://doi.org/10.20944/preprints202401.1564.v1
Chicago/Turabian Style
Deouskar, A. and Dhawal Agrawal. 2024 "A Novel Mathematical Approach with a Correlating Computational Framework for Precisifying Aneurysmal Therapeutics" Preprints. https://doi.org/10.20944/preprints202401.1564.v1
Abstract
Abdominal aortic aneurysm (AAA) is a chronic disease in which the abdominal aorta expands until it ruptures. AAA incidence: 10 million/year (India), deaths: 40%-90% (13th leading cause of death in the USA). Current treatment methods make diagnosis difficult due to the lack of noticeable symptoms and inaccurately planned operations. Rupture Scope is a mathematical model to dramatically reduce AAA deaths and improve treatment efficiency. Using a case-specific replica/simulation of real-time abdominal aortic blood flow for monitoring without frequent imaging scans and a novel derived mathematical linear regression model to predict rupture date and expansion rate with an overall accuracy of 95.64%.
Keywords
Abdominal aortic aneurysm; Mathematical Linear Regression; Computational Fluid Dynamics; Dynamical Systems
Subject
Computer Science and Mathematics, Mathematical and Computational Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
