# Predictive performance of CT for adverse outcomes among COVID-19 suspected patients: a two-center retrospective study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/predictive-performance-of-ct-for-adverse-outcomes-among-covid-19-suspected/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Begümhan Baysal,Mahmut Bilal Doğan,Mutlu Gülbay,Mine Sorkun,Murathan Köksal,Aliye Baştuğ,Sümeyye Kazancıoğlu,Bahadır Orkun Özbay,Sacit İçten,Ferhat Arslan,Yasemin Çağ,Hürrem Bodur,Haluk Vahaboğlu |
| Citations | 6 |
| DOI | 10.17305/bjbms.2020.5466 |
| Fields | Medicine |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.bjbms.org/ojs/index.php/bjbms/article/download/5466/1978 |
| OpenAlex ID | https://openalex.org/W3128251531 |
| PMID | 33577443 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Mahmut Bilal Doğan](https://scholariq.org/researchers/mahmut-bilal-dogan/)

## Paper journal

- [Biomolecules and Biomedicine](https://scholariq.org/journals/biomolecules-and-biomedicine/)

## Paper primary topic

- [COVID-19 and healthcare impacts](https://scholariq.org/topics/covid-19-and-healthcare-impacts/)

## Paper topics

- [COVID-19 and healthcare impacts](https://scholariq.org/topics/covid-19-and-healthcare-impacts/)
- [COVID-19 Clinical Research Studies](https://scholariq.org/topics/covid-19-clinical-research-studies/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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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.