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Preliminary diagnosis of respiratory diseases: an innovative approach using a web expert system

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 14 No. 6 (2024)

DOI
10.11591/ijece.v14i6.pp6600-6611
ISSN
2722-2578, 2088-8708
Published
2024-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

This study addressed the challenge of accurate and timely diagnosis of respiratory diseases such as influenza, asthma, and pneumonia by developing and evaluating a web-based expert system. The objective was to develop and assess both the usability and diagnostic efficiency of a web- based expert system adaptable to mobile devices. A combined methodological approach was used, using the rapid application development (RAD) model to build the system and the user usability system (SUS) to evaluate the usability with the participation of 15 users and 21 simulated cases with a confusion matrix to determine the precision, accuracy, sensitivity, and specificity of the system in diagnosing respiratory diseases. The results showed that the expert system has a considerable capacity to identify and differentiate these diseases, with a precision of 86%, an accuracy of 76%, a sensitivity of 80%, and a specificity of 67%. Furthermore, the usability evaluation using the SUS method yielded an average of 82, indicating a positive perception and good usability by the users. In conclusion, although the results suggest a promising potential to improve the diagnostic process in clinical and community settings, the need for future studies to validate its performance in real clinical settings is recognized.

Collaboration network of the authors

14 authors · 46 co-authorship links · 9 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universidad de Ciencias y Humanidades
  • Universidad Norbert Wiener
  • Universidad Tecnológica del Perú
  • Universidad Continental
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Inoc Rubio PaucarUniversidad Norbert Wiener6
Raúl Jáuregui-VelardeUniversidad Norbert Wiener3
Margarita Giraldo RetuertoUniversidad de Ciencias y Humanidades2
Janet Corzo-ZavaletaUniversidad de Ciencias y Humanidades1
Ada Alvarado-PaucarAffiliation unknown1
Cecilia Baldeón-VilcaAffiliation unknown1
Luis Segovia-FernándezAffiliation unknown1
Nelly Reyes-VilcaAffiliation unknown1
Giovana López-TolentinoAffiliation unknown1
Verónica Villarreal-ChumbesAffiliation unknown1
Jhon Canturín-NarreaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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