We review studies on document classification using machine learning for event-based biosurveillance and comparatively summarize them for close examination. Table 1 lists relevant studies we identified. These studies differ in target regions, languages, event types and surveillance criteria, as well as classification methods. This diversity illustrates the complementarity of all the approaches.