Web-based predictive tool for vaginal and vulvar melanomas: a machine learning study
This study highlights the aggressive nature of rare GU melanomas and the importance of surgical intervention and caution in the use of chemotherapy and radiotherapy.
Authors
- Jihan Muhaidat (ORCID: https://orcid.org/0000-0002-0365-6940)
- Hamdah Hanifa (ORCID: https://orcid.org/0000-0003-2970-7379)
- Suhail Haddadin
- Sakhr Alshwayyat (ORCID: https://orcid.org/0000-0002-2295-1945)
- Mustafa Alshwayyat
- Tala Abdulsalam Alshwayyat (ORCID: https://orcid.org/0009-0009-1754-2395)
- Zena Haddadin
- Muna Talafha
Institutions
- University of Jordan (JO)
- Applied Science Private University (JO)
- Jordan University of Science and Technology (JO)
- King Hussein Cancer Center (JO)
- King Hussein Medical Center (JO)
- Jackson Memorial Hospital (US)
- University of Mississippi Medical Center (US)
- University of Kalamoon (SY)
- Médecins Sans Frontières (JO)
Publication Details
- Journal
- Future Science OA
- Published
- 2025-09-17
- DOI
- https://doi.org/10.1080/20565623.2025.2540747
- Primary Topic
- Cutaneous Melanoma Detection and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00