# Addressing Binary Classification over Class Imbalanced Clinical Datasets Using Computationally Intelligent Techniques

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/addressing-binary-classification-over-class-imbalanced-clinical-datasets-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Vinod Kumar,Gotam Singh Lalotra,P. Sasikala,Dharmendra Singh Rajput,Rajesh Kaluri,Kuruva Lakshmanna,Mohammad Shorfuzzaman,Abdulmajeed Alsufyani,Mueen Uddin |
| Citations | 132 |
| DOI | 10.3390/healthcare10071293 |
| Fields | Computer Science,Engineering,Health Professions |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2227-9032/10/7/1293/pdf?version=1657682362 |
| OpenAlex ID | https://openalex.org/W4285496636 |
| PMID | 35885819 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Mueen Uddin](https://scholariq.org/researchers/mueen-uddin/)

## Paper journal

- [Healthcare](https://scholariq.org/journals/healthcare/)

## Paper primary topic

- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)

## Paper topics

- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Electricity Theft Detection Techniques](https://scholariq.org/topics/electricity-theft-detection-techniques/)

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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.