# Detection of coronavirus Disease (COVID-19) based on Deep Features and Support Vector Machine

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detection-of-coronavirus-disease-covid-19-based-on-deep-features-and-support/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Prabira Kumar Sethy,Santi Kumari Behera,Pradyumna Kumar Ratha,Preesat Biswas |
| Citations | 373 |
| DOI | 10.33889/ijmems.2020.5.4.052 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.33889/ijmems.2020.5.4.052 |
| OpenAlex ID | https://openalex.org/W3019449959 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Prabira Kumar Sethy](https://scholariq.org/researchers/prabira-kumar-sethy/)
- [Santi Kumari Behera](https://scholariq.org/researchers/santi-kumari-behera/)

## Paper journal

- [International Journal of Mathematical Engineering and Management Sciences](https://scholariq.org/journals/international-journal-of-mathematical-engineering-and-management-sciences/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

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