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Open access protocol and classification of scientific literature on spirometry

Flores-Valadez, Mario Arturo1; Michán-Aguirre, Layla2; Muñoz-Velasco, Israel2; Romero-Pérez, Minerva2





2024, Number 3

2024; 83 (3)






ABSTRACT

Health personnel who perform lung function tests must be well informed about specialized literature to use the equipment, interpret the results, and establish a diagnosis for monitoring lung diseases. Spirometry is the most widely used lung function test, which is why it is essencial to train technical and health personnel for its correct performance. The objective of this research is to create a protocol to organize and classify the technical and research literature on spirometry, allowing fast and efficient processing for both humans and machines. To achieve our objective, semantic annotations were made in 96 specialized documents on spirometry, with 99 tags categorized into seven key variables analyzed: type of document, access, topic, tests associated with spirometry, stage involved in performing spirometry, functional patterns and diseases studied through. These annotations are available online, are open access, semantic and interoperable, and can be processed by both humans and computers on a user-friendly platform (https://web.hypothes.is/). Due to the characteristics of the annotations, physicians and technicians who perform spirometry can interact with them and other users, thus promoting the analysis of key health information in an open and social manner, which can be useful for practice, research and teaching of pulmonology.

KEYWORDS

Data, hypothes.is, semantic web, spirometry.

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2024, Number 3

2024; 83 (3)