Overview
Clinical medicine places a great emphasis on data in order to make evidence-based decisions. Novel visualization approaches are a recently developed tool to make sense of this large amount of data. By using visual representations, medical practitioners are able to analyse and interpret the data more easily. These visualizations provide insight into the underlying patterns and trends of the data, allowing for more accurate diagnoses and treatments. Visualization techniques such as heat maps, treemaps, and network diagrams are regularly used to identify the key relationships between variables. Additionally, the data can be used to create predictive models, enabling risk stratification and better decision making. Novel visualization approaches for clinical medicine data are key in enabling healthcare professionals to make sense of complex data and improve patient care.