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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Symptom Dataset of 182 Influenza Patients for Soft Set and Entropy Analysis

Research datakeyboard_double_arrow_right Dataset 27 Sep 2025Publisher:Zenodo
Authors: Kandemir, Mustafa Burç;

doi: 10.5281/zenodo.17216028 , 10.5281/zenodo.17216027

Symptom Dataset of 182 Influenza Patients for Soft Set and Entropy Analysis

Abstract

This dataset contains the anonymized binary symptom profiles of 182 patients diagnosed with influenza at Milas State Hospital, Turkey. The data is structured as a soft set for use in the study titled 'Parameter Selection Using Shannon Entropy in Soft Set Theory: An Application to Medical Diagnosis'. The dataset includes 8 symptoms as defined by the WHO. Each row represents a patient, and each column indicates the presence (1) or absence (0) of a symptom.

Related Organizations
Keywords

influenza, symptoms, medical data, soft set, Shannon entropy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average