ChromoCheck: Predicting Postnatal Chromosomal Trisomy Cases Using a Support Vector Machine Learning Model
Our study is an example of how machine learning can be instrumental in augmenting conventional methods of cytogenetics diagnosis and decision-making in a clinical setup.
Authors
- Fahad Zadjali (ORCID: https://orcid.org/0000-0001-5891-4700)
- Najwa Al Jahdhami (ORCID: https://orcid.org/0000-0001-8294-8839)
- Nabras Al-Mahrami (ORCID: https://orcid.org/0009-0003-0328-2883)
- Ahmed Sallam
- Nuha Al Jabri
Institutions
- Oman Medical College (OM)
- Research Institute of Ophthalmology (EG)
Publication Details
- Journal
- Genes
- Published
- 2025-06-08
- DOI
- https://doi.org/10.3390/genes16060695
- Citations
- 2
- Primary Topic
- Prenatal Screening and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 6.99