Reference medical datasets (MosMedData) for independent external evaluation of algorithms based on artificial intelligence in diagnostics
Nikolay Pavlov, Anna Andreychenko, Anton V. Vladzymyrskyy, Anush A. Revazyan, Yury Kirpichev, С. П. Морозов
Abstract
The article describes a novel approach to creating annotated medical datasets for testing artificial intelligence-based diagnostic solutions. Moreover, there are four stages of dataset formation described: planning, selection of initial data, marking and verification, and documentation. There are also examples of datasets created using the described methods. The technique is scalable and versatile, and it can be applied to other areas of medicine and healthcare that are being automated and developed using artificial intelligence and big data technologies.
Topics & Concepts
Computer scienceScalabilityArtificial intelligenceDocumentationBig dataMachine learningSelection (genetic algorithm)Data miningDatabaseProgramming languageArtificial Intelligence in Healthcare and EducationArtificial Intelligence in HealthcareHealthcare Systems and Public Health