# Whale optimization with random contraction and Rosenbrock method for COVID-19 disease prediction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/whale-optimization-with-random-contraction-and-rosenbrock-method-for-covid-19/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Meilin Zhang,Qianxi Wu,Huiling Chen,Ali Asghar Heidari,Zhennao Cai,Jiaren Li,Elsaid Md. Abdelrahim,Romany F. Mansour |
| Citations | 17 |
| DOI | 10.1016/j.bspc.2023.104638 |
| Fields | Computer Science,Medicine,Psychology |
| Open Access | true |
| OA Status | green |
| OA URL | https://pmc.ncbi.nlm.nih.gov/articles/PMC9889265/pdf/main.pdf |
| OpenAlex ID | https://openalex.org/W4318822577 |
| PMID | 36741073 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Elsaid Md. Abdelrahim](https://scholariq.org/researchers/elsaid-md-abdelrahim/)

## 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/)
- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)
- [Emotion and Mood Recognition](https://scholariq.org/topics/emotion-and-mood-recognition/)

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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.