# COVID-19 Virus Prediction Using CNN and Logistic Regression Classification Strategies

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/covid-19-virus-prediction-using-cnn-and-logistic-regression-classification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Asadi Srinivasulu,Tarkeshwar Barua,Srinivas Nowduri,M. Madhusudhana Subramanyam,Sivaram Rajeyyagari |
| Citations | 11 |
| DOI | 10.4236/jdaip.2022.101005 |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://content.scirp.org/pdf/jdaip_2022022513404352.pdf |
| OpenAlex ID | https://openalex.org/W4214497867 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Sivaram Rajeyyagari](https://scholariq.org/researchers/sivaram-rajeyyagari/)

## Paper journal

- [Journal of Data Analysis and Information Processing](https://scholariq.org/journals/journal-of-data-analysis-and-information-processing/)

## 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/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

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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.