20.500.12556/DKUM-94064 The role of correspondence analysis in medical research Correspondence analysis (CA) is a multivariate statistical and visualization technique. CA is extremely useful in analyzing either two- or multi-way contingency tables, representing some degree of correspondence between columns and rows. The CA results are visualized in easy-to-interpret “bi–plots,” where the proximity of items (values of categorical variables) represents the degree of association between presented items. In other words, items positioned near each other are more associated than those located farther away. Each bi-plot has two dimensions, named during the analysis. The naming of dimensions adds a qualitative aspect to the analysis. Correspondence analysis may support medical professionals in finding answers to many important questions related to health, wellbeing, quality of life, and similar topics in a simpler but more informal way than by using more complex statistical or machine learning approaches. In that way, it can be used for dimension reduction and data simplification, clustering, classification, feature selection, knowledge extraction, visualization of adverse effects, or pattern detection. public health medical research correspondence analysis synthetic knowledge synthesis exploratory data analysis bibliometric javno zdravje medicinske raziskave analiza podatkov bibliometrika true false true Frontiers Media S. A. Angleški jezik Slovenski jezik https://www.frontiersin.org/journals/public-health © 2024 Žlahtič, Kokol, Blažun Vošner and Završnik Članek v reviji 2025-07-30 10:44:46 2025-07-30 10:44:46 2025-07-31 03:13:31 0000-00-00 00:00:00 2024 0 0 5 str. Vol. 12 22 March 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2023-12-28 2024-03-07 2024-03-22 004.6:61 190869507 10.3389/fpubh.2024.1362699 2296-2565 fpubh-12-1362699.pdf fpubh-12-1362699.pdf 1 CE3811FF7279380C43193C6F8922B23C 3bafb494e8fe4edbd85059523983cdc7bac2d6c6eff5859c06427b0bcde60e86 23a78928-6d22-11f0-b54a-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=194524 https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2024.1362699/full 0 29238e5c-6d22-11f0-b54a-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=194525 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0