Construction of Multi-dimensional Arterial Health Status Map based on Molecular and Clinical Measurements, Fuzzy
Lawrence W C Chan1, Iris F F Benzie, Thomas Y H Lau
1Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong, China;
Insights
This study introduces a novel health status coefficient to measure arterial health by integrating various atherosclerosis biomarkers. The developed fuzzy system provides an adaptable arterial health map for better cardiovascular risk assessment.
Area of Science:
- Cardiovascular Medicine
- Biomarker Discovery
- Computational Biology
Background:
- Atherosclerosis is an inflammatory disease influenced by biomarkers like lipid profile, HbA1c, oxidative stress, and endothelial function.
- Current methods for assessing arterial health are often multi-dimensional and complex.
Purpose of the Study:
- To propose a novel health status coefficient for quantifying arterial health.
- To develop an arterial health status map using a fuzzy system integrating molecular and clinical data.
- To demonstrate the adaptability and transparency of the fuzzy system for ongoing health assessment.
Main Methods:
- Integrated multi-dimensional measurements including lipid profile, HbA1c, oxidative stress, coronary artery calcium score, and flow-mediated endothelial response.
- Modeled the mapping of these measurements to a health status coefficient using a fuzzy system incorporating expert knowledge.
- Tuned the fuzzy system with pilot study data and stored results in a multi-dimensional database.
Main Results:
- Developed a fuzzy system to generate an arterial health status map.
- Successfully mapped complex biomarker data to a single health status coefficient.
- Demonstrated the system's adaptability for future updates and new data integration.
Conclusions:
- The proposed health status coefficient offers a comprehensive measure of arterial health.
- The fuzzy system provides a transparent and adaptable framework for atherosclerosis assessment.
- This approach facilitates improved cardiovascular risk stratification and management.
Abstract:
Atherosclerosis results from inflammatory processes involving biomarkers, such as lipid profile, haemoglobin A1C, oxidative stress, coronary artery calcium score and flow-mediated endothelial response through nitric oxide. This paper proposes a health status coefficient, which comprehends molecular and clinical measurements concerning atherosclerosis to provide a measure of arterial health. An arterial health status map is produced to map the multi-dimensional measurements to the health status coefficient. The mapping is modeled by a fuzzy system embedded with the health domain expert knowledge. The measurements obtained from the pilot study are used to tune the fuzzy system. The inferred arterial health coefficients are stored into the data cubes of a multi-dimensional database. Due to this adaptability and transparency of fuzzy system, the health status map can be easily updated when the refinement of fuzzy rule base is needed or new measurements are obtained.
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