Portfolio
VisXplore
Assessing, exploring, and analyzing large amount of heterogeneous clinical data are some of the key challenges faced by researchers and clinicians interested in identifying complex clinical patterns. Flexible visualization systems capable of loading different data types and performing individual statistical analysis have the potential of impacting the way clinical datasets are analyzed.
VisXplore is a clinical data visualization system that has been designed to perform group or single-subject analysis of multivariate tabular, hierarchical, or temporal clinical data. It has been developed as a robust, flexible, and easy-to-use application that can be used by either researchers or clinicians. The framework has been tested with different clinical datasets including a dataset of patients diagnosed with post-traumatic stress disorder (PTSD) and complex comorbid conditions.
Project Details:
- Using D3, Extjs, and jQuery
- Supports CSV, Excel, and JSON files
- Single Subject and Group Analysis
- Data Types Supported:
- Tabular
- Hierarchical
- Temporal