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

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

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.

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Bibliographic Details
Main Authors: Ariba Qaiser, Sobia Manzoor, Asraf Hussain Hashmi, Hasnain Javed, Anam Zafar, Javed Ashraf
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Advances in Virology
Online Access:http://dx.doi.org/10.1155/2024/5588127
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