Optimized Metric Learning for Enhanced Coronary Heart Disease Prediction

Mr. T V Ananda Babu; S Rasika; Y Sabitha; S Balaji; Y Chaithanya; P Rahul Royal

Optimized Metric Learning for Enhanced Coronary Heart Disease Prediction

April 2025

Vol-11, Issue-2

Paper ID: 26376

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Sri Venkatesa Perumal college of Engineering and Technology

Keywords

Coronary Heart Disease (CHD) Metric Learning Optimized Learning Disease Prediction Cardiovascular Disease Machine Learning Risk Assessment Healthcare Informatics Predictive Modeling Heart Disease Diagnosis

Abstract

Coronary heart disease (CHD) is a leading cause of morbidity and mortality worldwide. Early detection and prediction of CHD risk can significantly improve patient outcomes. This study proposes an optimized metric learning approach for enhanced CHD prediction. By learning an optimal distance metric, our model captures complex relationships between risk factors and CHD outcomes. We evaluate our approach using a comprehensive dataset and demonstrate improved prediction accuracy compared to traditional methods. Our results show that optimized metric learning can identify high-risk patients and provide valuable insights for targeted interventions. The proposed approach has the potential to revolutionize CHD risk assessment, enabling healthcare professionals to develop personalized treatment plans and improve patient care. This study highlights the effectiveness of optimized metric learning in CHD prediction, paving the way for further research and applications in cardiovascular disease diagnosis and prevention. By leveraging advanced machine learning techniques, we can improve CHD outcomes and save lives.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Mr. T V Ananda Babu	Sri Venkatesa Perumal college of Engineering and Technology
2	S Rasika	Sri Venkatesa Perumal college of Engineering and Technology
3	Y Sabitha	Sri Venkatesa Perumal college of Engineering and Technology
4	S Balaji	Sri Venkatesa Perumal college of Engineering and Technology
5	Y Chaithanya	Sri Venkatesa Perumal college of Engineering and Technology
6	P Rahul Royal	Sri Venkatesa Perumal college of Engineering and Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style

Babu, Mr. T V Ananda, Rasika, S, Sabitha, Y, Balaji, S, Chaithanya, Y, & Royal, P Rahul (2025). Optimized Metric Learning for Enhanced Coronary Heart Disease Prediction. International Journal of Advance Research and Innovative Ideas In Education, 11(2), 3061-3065.

MLA Style

Babu, Mr. T V Ananda, et al. "Optimized Metric Learning for Enhanced Coronary Heart Disease Prediction." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, 2025, pp. 3061-3065.

IEEE Style

Mr. T V Ananda Babu, S Rasika, Y Sabitha, S Balaji, Y Chaithanya, and P Rahul Royal, "Optimized Metric Learning for Enhanced Coronary Heart Disease Prediction," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, pp. 3061-3065, 2025.

Vancouver Style

Babu Mr. T V Ananda, Rasika S, Sabitha Y, Balaji S, Chaithanya Y, Royal P Rahul. Optimized Metric Learning for Enhanced Coronary Heart Disease Prediction. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(2):3061-3065.

Harvard Style

Babu, Mr. T V Ananda, Rasika, S, Sabitha, Y, Balaji, S, Chaithanya, Y, & Royal, P Rahul (2025) 'Optimized Metric Learning for Enhanced Coronary Heart Disease Prediction', International Journal of Advance Research and Innovative Ideas In Education, 11(2), pp. 3061-3065.

Chicago Style

Babu, Mr. T V Ananda, et al. "Optimized Metric Learning for Enhanced Coronary Heart Disease Prediction." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 3061-3065.

Turabian Style

Babu, Mr. T V Ananda, et al. "Optimized Metric Learning for Enhanced Coronary Heart Disease Prediction." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 3061-3065.