Custom code to develop new patient properties from stored data. Big Data Specific For individualized cohort, we will effectively be building a datamart for Challenges (Gaps) each patient since the critical properties and indices will be specific to each patient. Due to the number of patients, this becomes an impractical approach. Fundamentally, the paradigm changes from relational lookup to semantic graph traversal. Big Data Specific Physicians and patient may need access to this data on mobile Challenges in Mobility platforms Security & Privacy Health records or clinical research databases must be kept Requirements secure/private. Highlight issues for Data integration: continuous values, ontological annotation, taxonomy generalizing this use Graph Search: indexing and searching graph case (e.g. for ref. Validation: Statistical validation architecture) More Information (URLs) Note: <additional comments>
Custom code to develop new patient properties from stored data. Big Data Specific Challenges (Gaps) For individualized cohort, we will effectively be building a datamart for each patient since the critical properties and indices will be specific to each patient. Due to the number of patients, this becomes an impractical approach. Fundamentally, the paradigm changes from relational lookup to semantic graph traversal. Big Data Specific Challenges in Mobility Physicians and patient may need access to this data on mobile platforms Security & Privacy Requirements Health records or clinical research databases must be kept secure/private. Highlight issues for generalizing this use case (e.g. for ref. architecture) Data integration: continuous values, ontological annotation, taxonomy Graph Search: indexing and searching graph Validation: Statistical validation More Information (URLs) Note: <additional comments>