A comparative evaluation of handling missing data points and modalities in electronic health records

We provide a comparative analysis of different modelling strategies for handling missingness. We demonstrate that direct modelling approaches maintain clinical patterns more effectively than imputation. This emphasises the importance of integrating missingness handling into the modelling pipeline and selecting models based on missingness type and modality to ensure reliability in clinical applications.