Papers by Heejoon Koo
Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical Regularisation (2024.findings-eacl)
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| Challenge: | Existing studies have not addressed the heterogeneous and hierarchical properties inherent in EHR data. |
| Approach: | They propose a medical code-centric multimodal contrastive EHR learning framework with hierarchical regularisation that integrates multifaceted information encompassing medical codes, demographics, and clinical notes. |
| Outcome: | The proposed framework integrates multifaceted information encompassing medical codes, demographics, and clinical notes using a tailored network design and bimodal contrastive losses. |