Uvemaster: A Mobile App-Based Decision Support System for the Differential Diagnosis of Uveitis | Zendy

J.A. Gegúndez-Fernández | Zendy; José Ignacio FernándezVigo | Zendy; David DíazValle | Zendy; Rosalía Méndez-Fernández | Zendy; Ricardo CuiñaSardiña | Zendy; E. Santos-Bueso | Zendy; J.M. Benítez-del-Castillo | Zendy

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Uvemaster: A Mobile App-Based Decision Support System for the Differential Diagnosis of Uveitis

Author(s) -

J.A. Gegúndez-Fernández,

José Ignacio FernándezVigo,

David DíazValle,

Rosalía Méndez-Fernández,

Ricardo CuiñaSardiña,

E. Santos-Bueso,

J.M. Benítez-del-Castillo

Publication year - 2017

Publication title -

investigative ophthalmology and visual science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.935

H-Index - 218

eISSN - 1552-5783

pISSN - 0146-0404

DOI - 10.1167/iovs.17-21493

Subject(s) - medicine , uveitis , medical diagnosis , confidence interval , differential diagnosis , diagnostic accuracy , retrospective cohort study , predictive value , anterior uveitis , pediatrics , ophthalmology , radiology , pathology

To examine the diagnostic accuracy and performance of Uvemaster, a mobile application (app) or diagnostic decision support system (DDSS) for uveitis. The app contains a large database of knowledge including 88 uveitis syndromes each with 76 clinical items, both ocular and systemic (total 6688) and their respective prevalences, and displays a differential diagnoses list (DDL) ordered by sensitivity, specificity, or positive predictive value (PPV).

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