Cognitive Impairment and Dementia Data Model: Quality Evaluation and Improvements

Recently, datasets with various factors and indicators of cognitive diseases have been available for clinical research. Although the transformation information to a particular data model is straightforward, many challenges arise if from different repositories be integrated. Since each source keeps entities names relationships at levels granularity format, can partially lost or not properly presented. It therefore important common that provides unified description related diseases. Thus, in our previous work, we proposed hierarchical impairment dementia semantics human-readable format accelerates interoperability datasets. defines entities, their attributes diagnosis treatment. This paper extends work by evaluating improving adapting methodology D. Moody G. Shanks. The completeness, simplicity, correctness integrity are assessed based on results new, improved version generated. understandability evaluated using an online questionnaire. Simplicity also considered as well may influence flexibility model.