A Clinical Point Cloud Paradigm for In-Hospital Mortality Prediction from Multi-Level Incomplete Multimodal EHRs

Researchers propose applying point cloud methods to clinical mortality prediction, treating incomplete electronic health record data from multiple modalities as geometric structures. The approach addresses missing data in healthcare datasets without complex imputation by leveraging deep learning on point cloud representations.