Document Oriented Graphical Analysis and Prediction

Shorabuddin Syed, Mahanazuddin Syed, Hafsa Bareen Syeda, Fred Prior, Meredith Zozus, Melody L Penning, Mohammed Orloff
2020 Studies in Health Technology and Informatics  
In general, small-mid size research laboratories struggle with managing clinical and secondary datasets. In addition, faster dissemination, correlation and prediction of information from available datasets is always a bottleneck. To address these challenges, we have developed a novel approach, Document Oriented Graphical Analysis and Prediction (DO-GAP), a hybrid tool, merging strengths of Not only SQL (NoSQL) document oriented and graph databases. DO-GAP provides flexible and simple data
more » ... ation mechanism using document database, data visualization and knowledge discovery with graph database. We demonstrate how the proposed tool (DO-GAP) can integrate data from heterogeneous sources such as Genomic lab findings, clinical data from Electronic Health Record (EHR) systems and provide simple querying mechanism. Application of DO-GAP can be extended to other diverse clinical studies such as supporting or identifying weakness of clinical diagnosis in comparison to molecular genetic analysis.
doi:10.3233/shti200147 pmid:32570371 fatcat:njwpd6ny4nbntl6u7focghjw24