Hybrid Approach for Predicting Heart Disease Using Optimization Clustering and Image Processing
- Title
- Hybrid Approach for Predicting Heart Disease Using Optimization Clustering and Image Processing
- Creator
- Paul N.K.; Harsha K.G.; Kumar P.; Philip S.; George J.P.
- Description
- Heart disease (cardiovascular disease) is one of the core issues prevalent in this generation. Every year, millions of people die due to various heart diseases. The problem occurs due to hereditary or changes in life styles. Various data mining techniques are used in order to predict heart diseases. Data mining increases the accuracy, precision, and sensitivity of the model being used. In the proposed hybrid approach for predicting heart disease using optimization clustering and image processing (Hy-OCIP) model, a hybrid approach is used to predict heart diseases with the help of optimization, clustering, and image processing. After the heart image is being processed, centroid clustering is used for clustering the processed imaged into a set of chromosomes for optimization. The optimization method used for our model is genetic algorithm. The same methods are performed for both, a healthy and a heart patient. As a result, the model used in this research is able to distinguish between a normal patient and a heart patient by a hybrid combination of image processing, clustering, and optimization. 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- Source
- Smart Innovation, Systems and Technologies, Vol-195, pp. 355-362.
- Date
- 2021-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Centroid clustering; Coronary artery blockage; Genetic algorithm; Heart disease; Image processing; Predictive model
- Coverage
- Paul N.K., CHRIST (Deemed to be University), Lavasa, Maharashtra, India; Harsha K.G., CHRIST (Deemed to be University), Lavasa, Maharashtra, India; Kumar P., CHRIST (Deemed to be University), Lavasa, Maharashtra, India; Philip S., CHRIST (Deemed to be University), Lavasa, Maharashtra, India; George J.P., CHRIST (Deemed to be University), Lavasa, Maharashtra, India
- Rights
- Restricted Access
- Relation
- ISSN: 21903018; ISBN: 978-981157077-3
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Paul N.K.; Harsha K.G.; Kumar P.; Philip S.; George J.P., “Hybrid Approach for Predicting Heart Disease Using Optimization Clustering and Image Processing,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 27, 2025, https://archives.christuniversity.in/items/show/20644.