An abundance of scholarly resources are available to the researcher, easily discoverable through use of a few search terms. However, this opulence comes at a price: there is too much literature for a researcher to find and read themselves. Text and Data Mining (TDM) offer a solution for health researchers wishing to analyse a large corpus of resources, including research papers, medical records, and other material, even when the information is held in an unstructured form. The resultant output may be used to identify hidden patterns that emerge over time and across geographic regions, predict and address gaps within the data, and convert content into a form better suited to modern research. Read more
