Logistic regression is a popular method to predict binary variables such the presence or absence of disease.
Sophisticated ensemble methods such as Random Forests provide cutting edge prediction models but they can be difficult to interpret.
CART algorithms do not have the same predictive accuracy as other algorithms. However, their results are easily interpretable.
Thin plate splines are a non parametric method used to interpolate data in two dimensions. This may help detect trends.