Harmonizing self-reported and free text medication data: a reproducible pipeline for gerontological research
Ramkrishna K. Singh, Chen Chen, Semere Bekena, David C. Brown, Kaylin Taylor, Matthew Blake, Yiqi Zhu, Kebede Beyene, David B. Carr, Ganesh M. Babulal · 2025
Read Harmonizing self-reported and free text medication data: a reproducible pipeline for gerontological research by Ramkrishna K. Singh, Chen Chen, Semere Bekena, David C. Brown, Kaylin Taylor, Matthew Blake, Yiqi Zhu, Kebede Beyene, David B. Carr, Ganesh M. Babulal (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12865965.txt.
Description
Ramkrishna Singh and others built a pipeline for messy drug records in 2025. Older-adult studies collect drug lists as text. Spelling varies wildly in those lists. Drug names follow no single rule. Mixed products make things harder. Analysis stalls without standard drug codes.
The pipeline maps free text to classes. Unique drugs were matched here. A standard drug scheme supplied classes. Curated data now feed models well. Drug use can be checked the same way each time. Dementia research benefits from such cleaning. Other ageing studies benefit as well. The method scales to large data sets.
Catalog record
| CREATOR | Ramkrishna K. Singh, Chen Chen, Semere Bekena, David C. Brown, Kaylin Taylor, Matthew Blake, Yiqi Zhu, Kebede Beyene, David B. Carr, Ganesh M. Babulal |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 46 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |