{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T13:29:21Z","timestamp":1725629361019},"reference-count":0,"publisher":"EasyChair","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>In this work, we analysed 11 imbalance scenarios with female and male COVID-19 patients present in different proportions for the sex analysis, and 6 scenarios where only one specific age range was used for training for the age factor. In each study, 3 different approaches for automatic COVID-19 screening were used: (I) Normal vs COVID-19, (II) Pneumonia vs COVID-19 and (III) Non-COVID-19 vs COVID-19.<\/jats:p><jats:p>The present study was validated using two representative public chest X-ray datasets, allowing a reliable analysis to support the clinical decision-making process.<\/jats:p><jats:p>The results for the sex-related analysis indicate this factor slightly affects the COVID- 19 deep learning-based systems, although the identified differences are not relevant enough to considerably worsen the system. Regarding the age-related analysis, this factor was observed to be influencing the system in a more consistent way than the sex factor, as it was present in all considered scenarios.<\/jats:p>","DOI":"10.29007\/v25g","type":"proceedings-article","created":{"date-parts":[[2023,2,16]],"date-time":"2023-02-16T23:10:14Z","timestamp":1676589014000},"page":"174-169","source":"Crossref","is-referenced-by-count":0,"title":["Analysis of Imbalanced Datasets in the Performance of Deep Learning Approaches for COVID-19 Screening from Chest X-ray Imaging: Impact of Sex and Age Factors"],"prefix":"10.29007","volume":"14","author":[{"given":"Lorena","family":"Alvarez","sequence":"first","affiliation":[]},{"given":"Joaquim de","family":"Moura","sequence":"additional","affiliation":[]},{"given":"Luc\u00eda","family":"Ramos","sequence":"additional","affiliation":[]},{"given":"Jorge","family":"Novo","sequence":"additional","affiliation":[]},{"given":"Marcos","family":"Ortega","sequence":"additional","affiliation":[]}],"member":"11545","event":{"name":"Proceedings of V XoveTIC Conference. XoveTIC 2022"},"container-title":["Kalpa Publications in Computing"],"original-title":[],"deposited":{"date-parts":[[2023,2,16]],"date-time":"2023-02-16T23:10:43Z","timestamp":1676589043000},"score":1,"resource":{"primary":{"URL":"https:\/\/easychair.org\/publications\/paper\/NvJG"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"references-count":0,"URL":"https:\/\/doi.org\/10.29007\/v25g","relation":{},"ISSN":["2515-1762"],"issn-type":[{"type":"print","value":"2515-1762"}],"subject":[]}}