A Resolution-Alignment-Completeness System for Data Imputation over Tabular Clinical Records
Keywords: Knowledge Graph Embedding, RAC, EHR, Missing Data, Imputation
Abstract: The rapid growth of electronic health records (EHR) presents challenges in data integration and interoperability due to the incomplete nature of this information, limiting its effective utilization. While ontology-based data integration across diverse resources has been widely practiced, the process of codifying records remains error-prone and largely manual. Knowledge Graph Embeddings as an alternative solution can provide for efficient quality data representations. In particular in this work, we propose a Resolution-Alignment-Completeness (RAC) system that applies entity resolution and alignment across medical terminologies and ontologies for imputing codified data over tabular data.
Submission Number: 11
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