# A Sustainable Approach to Predict Coronary Artery Disease with Machine Learning and Explainable AI

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-sustainable-approach-to-predict-coronary-artery-disease-with-machine-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sabit Ahamed Preanto,Alimool Razi,Shanjida Azim Shorna,Raka Moni,Jyoti Dua,Vijay Kumar Dwivedi |
| Citations | 0 |
| DOI | 10.23919/indiacom66777.2025.11115344 |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4413394713 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Raka Moni](https://scholariq.org/researchers/raka-moni/)

## Paper primary topic

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

## Paper topics

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Cardiac Imaging and Diagnostics](https://scholariq.org/topics/cardiac-imaging-and-diagnostics/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.