Amol Thakkar, Andrea Antonia Byekwaso, et al.
ACS Fall 2022
Correlating content from multiple data fields is one of the key challenges in text mining. In this paper, we propose a visual analytics approach that leverages both content correlation analysis and interactive visualization technologies in analyzing and understanding content correlations. We have applied our work to analyzing NHAMCS data (National Hospital Ambulatory Medical Care Survey), which helps reveal healthcare-related data patterns through the correlations between unstructured data fields (e.g., cause of injury and diagnosis) and between structured and unstructured fields (e.g., gender and cause of injury). © 2010 ACM.
Amol Thakkar, Andrea Antonia Byekwaso, et al.
ACS Fall 2022
Dimitrios Christofidellis, Giorgio Giannone, et al.
MRS Spring Meeting 2023
Carla F. Griggio, Mayra D. Barrera Machuca, et al.
CSCW 2024
Praveen Chandar, Yasaman Khazaeni, et al.
INTERACT 2017