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Support Vector Machine Outperforms Other Machine Learning Models in Early Diagnosis of Dengue Using Routine Clinical Data

Authors :
Ariba Qaiser
Sobia Manzoor
Asraf Hussain Hashmi
Hasnain Javed
Anam Zafar
Javed Ashraf
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

Subjects :
Microbiology
QR1-502

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