Bomhals, BirteCossement, LaraMaes, AlexSathekge, Mike MachabaMokoala, Kgomotso M.G.Sathekge, ChabiGhysen, KatrienVan de Wiele, Christophe2024-05-282024-05-282023-12Bomhals, B.; Cossement, L.; Maes, A.; Sathekge, M.; Mokoala, K.M.G.; Sathekge, C.; Ghysen, K.; Van deWiele, C. Principal Component Analysis Applied to Radiomics Data: Added Value for Separating Benign from Malignant Solitary Pulmonary Nodules. Journal of Clinical Medicine. 2023, 12, 7731. https://doi.org/10.3390/jcm12247731.2077-0383 (online)10.3390/jcm12247731http://hdl.handle.net/2263/96250DATA AVAILABILITY STATEMENT: Data may be obtained via the last author following a reasonable request and following approval from our Ethics Committee.Please read abstract in article.en© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).Solitary pulmonary nodulesTexture featuresBenign vs. malignantLogistic binomial regressionPrincipal component analysis (PCA)SDG-03: Good health and well-beingArticle