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Big Data Opportunities: Lung Image Segmentation for a Coronary Artery Diseases Monitoring System

Big Data Opportunities: Lung Image Segmentation for a Coronary Artery Diseases Monitoring System

Karthikeyan, Alex Khang, K. Krishnaveni
Copyright: © 2023 |Pages: 10
ISBN13: 9798369308769|ISBN13 Softcover: 9798369348390|EISBN13: 9798369308776
DOI: 10.4018/979-8-3693-0876-9.ch019
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MLA

Karthikeyan, et al. "Big Data Opportunities: Lung Image Segmentation for a Coronary Artery Diseases Monitoring System." AI and IoT-Based Technologies for Precision Medicine, edited by Alex Khang, IGI Global, 2023, pp. 314-323. https://doi.org/10.4018/979-8-3693-0876-9.ch019

APA

Karthikeyan, Khang, A., & Krishnaveni, K. (2023). Big Data Opportunities: Lung Image Segmentation for a Coronary Artery Diseases Monitoring System. In A. Khang (Ed.), AI and IoT-Based Technologies for Precision Medicine (pp. 314-323). IGI Global. https://doi.org/10.4018/979-8-3693-0876-9.ch019

Chicago

Karthikeyan, Alex Khang, and K. Krishnaveni. "Big Data Opportunities: Lung Image Segmentation for a Coronary Artery Diseases Monitoring System." In AI and IoT-Based Technologies for Precision Medicine, edited by Alex Khang, 314-323. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/979-8-3693-0876-9.ch019

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Abstract

The medical field is growing at a rapid pace, with new diseases cropping up daily that require invention of appropriate course of treatment. The heart is a muscular organ which is the size of clenched human fist, and is responsible for blood circulation. Also squeezing the classification model with entire raw features can create a bottleneck to the classification performance. Though, heart/cardiac disease is the name given to diseases affecting the heart in general, there are many diseases which come under this name, including coronary artery diseases (CAD), cardiomyopathy, cardio vascular disease (CVD) and so on depending upon the circulation of blood throughout the body. Hence, this research work initiates a hybrid method named HCFFSC- hierarchical clustering fuzzy features subset classification for identifying appropriate feature subsets related to target class and given to classifier model to enhance the performance of health monitoring and management (HMM).

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