# Improving COVID-19 Prognosis Predictions with Ensemble Learning Techniques Applied to Patient Health Data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/improving-covid-19-prognosis-predictions-with-ensemble-learning-techniques/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tushar Dhar Shukla,R Dhaaraani,S. Suma Christal Mary,Ganesh Kumar Anbazhagan,Malik Bader Alazzam,Ali Hilal Mutlag |
| Citations | 0 |
| DOI | 10.1109/icicke65317.2025.11136805 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4414406391 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Ali Hilal Mutlag](https://scholariq.org/researchers/ali-hilal-mutlag/)

## 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/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

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