This repository is archived and no longer maintained. Code and data documentation for the study are now maintained in https://github.com/Developer-Devanshhh/ghostcluster; see data/README.md there for instructions on obtaining and placing the data.
Devansh Verma and Kalyanaraman Pattabiraman. Ghost Clusters: Detecting Patient-Reported Adverse Drug Event Expressions That Fall Outside Controlled Medical Terminologies. Manuscript under review.
No data are hosted here or in the code repository. All data are available from their original providers, under their own terms.
| Resource | Source | Access |
|---|---|---|
| SMM4H-2017 Task 3 | Sarker et al., J. Am. Med. Inform. Assoc. 25, 1274-1283 (2018) | Mendeley Data, https://doi.org/10.17632/rxwfb3tysd.2 |
| CADEC v2 | Karimi et al., J. Biomed. Inform. 55, 73-81 (2015) | CSIRO Data Access Portal, https://doi.org/10.4225/08/570FB102BDAD2 |
| PsyTAR | Zolnoori et al., J. Biomed. Inform. 90, 103091 (2019); Data Brief 24, 103838 (2019) | Data article, https://doi.org/10.1016/j.dib.2019.103838 (AskaPatient terms of use apply) |
| MedDRA 24.0 (English) | MedDRA Maintenance and Support Services Organization (MSSO) | Licence from MSSO, https://www.meddra.org/how-to-get/subscription |
Kalyanaraman Pattabiraman (corresponding author), School of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, India. pkalyanaraman@vit.ac.in
The documentation in this repository is dedicated to the public domain under CC0 1.0 (LICENSE). The datasets listed above retain their original licences.