A Service for Flexible Management and Analysis of Heterogeneous Clinical Data

Abstract

This paper describes FIMED 2.0, a Service for Flexible Management and Analysis of Heterogeneous Clinical Data. This software tool allows flexible clinical data management from multiple trials, which can help to improve the quality of clinical data and ease in clinical trials. The proposed service has been developed on top of a NoSQL Database (MongoDB), which allows for collecting and integrating clinical data in dynamic and incremental schemes based on their needs and clinical research requirements. Building upon our experiences with Flexible Management of Biomedical Data (FIMED), we have developed this new version of the tool aiming not only at replicating the former one but also including further gene regulatory network analysis and data visualization oriented to annotate gene functionality and identify hub genes. This version allows the practitioner to use four different network construction methods such as data assimilation, linear interpolation, tree-based ensemble or Gradient Boosting Machine regression. You may find a free version of this tool on the web at https://khaos.uma.es/fimedV2. A demo user account has been created to provide user demonstration, “iwbbio”, using the password “demo”. A real-world use case for a clinical assay in Melanoma disease is also included in this demo, which has been indeed anonymized.