# Predict Mortality in Patients Infected with COVID-19 Virus Based on Observed Characteristics of the Patient using Logistic Regression

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/predict-mortality-in-patients-infected-with-covid-19-virus-based-on-observed/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Bernhard Owen Josephus,Ardianto Hermawan Nawir,Evelyn Wijaya,Jurike V. Moniaga,Margaretha Ohyver |
| Citations | 35 |
| DOI | 10.1016/j.procs.2021.01.076 |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.1016/j.procs.2021.01.076 |
| OpenAlex ID | https://openalex.org/W3131183906 |
| PMID | 33643495 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Jurike V. Moniaga](https://scholariq.org/researchers/jurike-v-moniaga/)

## Paper journal

- [Procedia Computer Science](https://scholariq.org/journals/procedia-computer-science/)

## 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/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-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.