Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 16, 04 December 2023
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A comprehensive analysis of various risk factors influencing hypertension development
* Author to whom correspondence should be addressed.
Abstract
This study delivers a nuanced and in-depth exploration of multiple risk factors implicated in the onset of hypertension, a pervasive cardiovascular ailment afflicting a staggering number of individuals across the globe. Harnessing an exhaustive, meticulously curated dataset, the research adopts a synergistic, multi-faceted methodology that encompasses both logistic regression models and cutting-edge visual analytics, such as boxplots. Through logistic regression, key predictors—namely chest pain type, maximum heart rate, and particular outcomes from thallium stress tests—emerge as critical determinants in the development of hypertension. To substantiate these statistical inferences, the study leverages a series of illuminating boxplots, offering an intuitive and empirically rigorous portrayal of the stark disparities in these variables between hypertensive and non-hypertensive cohorts. This harmonized, dual-pronged strategy not only quantitatively assesses the impact of each risk factor but also brings credibility to these numerical revelations through its adept use of visual analytics. The robust integration of these analytical approaches bolsters the study’s overall reliability, thereby furnishing invaluable, actionable insights for both clinical practitioners and health policymakers.
Keywords
Hypertension, Risk Factors, Healthcare
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Modern Medicine and Global Health
- ISBN (Print)
- 978-1-83558-195-7
- ISBN (Online)
- 978-1-83558-196-4
- Published Date
- 04 December 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/16/20240544
- Copyright
- 04 December 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited