Decision Tree Algorithm - Sex and Comorbidities in gout

Published: 13 January 2023| Version 1 | DOI: 10.17632/j4vf42jhkw.1
Contributors:
Mariano Andres,
,
,

Description

The figures show decision tree algorithms built to predict whether a patient with gout is male or female, considering age and comorbidities as decision-makers. Three different algorithms are given, with 6, 7, and 8 levels of decision. The accuracy score of the model was 74.4%.

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Institutions

Hospital General Universitari d'Alacant, Instituto de Investigacion Sanitaria y Biomedica de Alicante, Hospital Universitario La Paz, Universidad Miguel Hernandez de Elche

Categories

Rheumatology, Gender Difference, Comorbidity, Gout

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