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Related Experiment Videos

Explainable Machine Learning for Predicting Dengue Recovery Duration: Insights from Multi-Center Clinical Data

Adam Khan¹, Asad Ali², Fazal Hanan³

¹Department of Computer Science and IT, Sarhad University of Science and Information Technology, Peshawar 25000, Khyber Pakhtunkhwa, Pakistan.

Healthcare (Basel, Switzerland)

|July 15, 2026

Summary

No abstract available in PubMed .

Keywords:

clinical decision support dengue recovery prediction explainable artificial intelligence healthcare data analytics interpretable machine learning patient outcome modeling

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Steps in Outbreak Investigation

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:

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