# Diagnosis of Breast Cancer Pathology on the Wisconsin Dataset with the Help of Data Mining Classification and Clustering Techniques

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/diagnosis-of-breast-cancer-pathology-on-the-wisconsin-dataset-with-the-help-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Walid Theib Mohammad,Ronza Teete,Heyam Al-Aaraj,Yousef Rubbai,Majd Mowafaq Arabyat |
| Citations | 24 |
| DOI | 10.1155/2022/6187275 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://downloads.hindawi.com/journals/abb/2022/6187275.pdf |
| OpenAlex ID | https://openalex.org/W4225844314 |
| PMID | 35401789 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Walid Theib Mohammad](https://scholariq.org/researchers/walid-theib-mohammad/)

## Paper primary topic

- [Data Mining Algorithms and Applications](https://scholariq.org/topics/data-mining-algorithms-and-applications/)

## Paper topics

- [Data Mining Algorithms and Applications](https://scholariq.org/topics/data-mining-algorithms-and-applications/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Gene expression and cancer classification](https://scholariq.org/topics/gene-expression-and-cancer-classification/)

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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.