Fig. 1From: Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical researchMotivating Example for GATAN. Left ventricular mass index to body surface area (LVMI) is the primary target. The labeling process also produces other measures that are clinically related to LVMI. We predict these measures as auxiliary tasks in our modelBack to article page