Usefulness of data visualization in radiation biology; Analysis of radiation-induced biological response using self-organizing maps

Kanzaki, Norie   

The biological effects of low-dose radiation are confusing due to the various intertwined factors. The vital body responses are complex. In this review, we visualized the results of animal experiments using Self-organizing maps (SOM) and reported the results of the low-dose radiation biological effect assessment from a different viewpoint. For example, although the classification of these data which were the biological effects by low-dose radiation were impossible, SOM got the overall assessment and the intuitive understanding. We reported the results and the usefulness of data visualization of radiation biological effects using machine learning.