H4. Modelling and visualizing data – in health, health surveillance, drug discovery etc.
Possible topics include, but are not limited to, the following areas:
in separating, extracting and combining information from data of different sources/lists such as in health surveillance or public health issues for invasive species surveillance or capturing population sizes for so called hidden populations
in visualization classification methods in drug-discovery and in health practice – e.g. correspondence analysis, support vector machines, Bayesian classifiers, skew and non-skew mixture classification, and more
Both theoretical and empirical papers are welcome.