Crammer, K.; Dredze, M.; Ganchev, K.; Talukdar, P. P.; Carroll, S. (2007). Automatic Code Assignment to Medical Text. In Proc. Workshop on Biological, Translational, and Clinical Language Processing, Prague, Czech Republic, BioNLP07, 129--136.
medical
mldr.datasets::get.mldr("medical")
Summary
Instances | 978 |
---|---|
Attributes | 1494 |
Inputs | 1449 |
Labels | 45 |
Labelsets | 94 |
Single labelsets | 33 |
Max frequency | 155 |
Cardinality | 1.2454 |
Density | 0.0277 |
Mean IR | 89.5014 |
SCUMBLE | 0.0471 |
TCS | 15.6286 |
Citation
Crammer, K.; Dredze, M.; Ganchev, K.; Talukdar, P. P.; Carroll, S. (2007). Automatic Code Assignment to Medical Text. In Proc. Workshop on Biological, Translational, and Clinical Language Processing, Prague, Czech Republic, BioNLP07, 129--136.
@inproceedings{,
title = "Automatic Code Assignment to Medical Text",
author = "Crammer, K. and Dredze, M. and Ganchev, K. and Talukdar, P. P. and Carroll, S.",
booktitle = "Proc. Workshop on Biological, Translational, and Clinical Language Processing, Prague, Czech Republic, BioNLP07",
year = "2007",
pages = "129--136"
}
Concurrence plot
In this concurrence plot, sectors represent labels and links between them depict label co-occurrences. SCUMBLE is a measure designed to assess the concurrence among imbalanced labels.