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. 2018 Jan 11;8:411. doi: 10.1038/s41598-017-18564-8

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Graphical representation of the predictive model results. The ten most likely diseases are depicted in a polar chart with varying radii. Each chart slice represents a disease whose angle corresponds to the predicted (posttest) disease probability and whose radius is proportional to the logarithm of the ratio between pre- and post-test, the (prevalence) probability or information score.