Maps arguments and evidence as an interactive tree
Dynamic Interactive Argumentation Trees (DIAeT) tool used to synthesis evidence from clinical trials. It follows an argument-based approach that automatically generates a conclusion from a given body of semantically captured clinical trials. This methodology automatically generates a conclusion together with a justification in how far one treatment can be seen as superior to another one, where the backing evidence comes from a knowledge base in which clinical trials are semantically described. The conclusion and corresponding justification are provided in the form of a tree consisting of an overall conclusion on the superiority of one treatment over another at the root of the tree, and interim conclusions regarding the hierarchically ordered sub-dimensions along which the treatments can be compared. By changing the weights, and thus the relative importance of each comparative dimension (e.g., weighting safety higher than efficacy), a user can perform a sensitivity analysis to understand under which conditions and assumptions a certain treatment can be assumed to be superior to another one. The tool is also dynamic in the sense that it can incorporate new evidence as it becomes available instantly, and the users can inspect how the newly added evidence affects the overall conclusion.
