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We have developed a multi-view multi-task network (MuViTaNet) that leverages clinical data to profile multiple complications for patients. The experimental results show that MuViTaNet outperforms existing methods for profiling the development of cardiac complications (such as atrial fibrillation, heart failure, and stroke) in breast cancer survivors. Furthermore, MuViTaNet also provides an effective mechanism for interpreting its predictions in multiple perspectives, thereby helping clinicians discover the underlying mechanism triggering the onset and for making better clinical treatments in real-world scenarios.more » « less
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