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Support Vector Machine Outperforms Other Machine Learning Models in Early Diagnosis of Dengue Using Routine Clinical Data
- Source :
- Advances in Virology, Vol 2024 (2024)
- Publication Year :
- 2024
- Publisher :
- Hindawi Limited, 2024.
-
Abstract
- Conclusion: Our study documents three circulating serotypes in the capital territory of Pakistan and highlights that the SVM outperformed other models, potentially serving as a valuable tool in clinical settings to aid in the rapid diagnosis of DF.
- Subjects :
- Microbiology
QR1-502
Subjects
Details
- Language :
- English
- ISSN :
- 16878647
- Volume :
- 2024
- Database :
- Directory of Open Access Journals
- Journal :
- Advances in Virology
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.319d20ebeb8b421b91a2f5ffca973fe7
- Document Type :
- article
- Full Text :
- https://doi.org/10.1155/2024/5588127