Validation of algorithms identifying diagnosed Obstructive Sleep Apnoea and narcolepsy in coded primary care and linked hospital activity data in England
Strongman, H
(2025).
Validation of algorithms identifying diagnosed Obstructive Sleep Apnoea and narcolepsy in coded primary care and linked hospital activity data in England.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.15756246
Data management scripts for study validating algorithms identifying diagnosed Obstructive Sleep Apnoea and narcolepsy in coded primary care and linked hospital activity data in England
Keywords
Obstructive sleep apnoea; narcolepsy; CodelistItem Type | Dataset |
---|---|
Resource Type |
Resource Type Resource Description Software Stata Do file |
Capture method | Observation |
Date | 21 July 2025 |
Language(s) of written materials | English |
Creator(s) |
Strongman, H |
LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 22 Jul 2025 09:18 |
Last Modified | 22 Jul 2025 09:18 |
Publisher | Zenodo |
Explore Further
- Zenodo (Online Data Resource)
- Github (Data)
- Software Heritage Archive (Data)
No files available. Please consult associated links.
- Zenodo (Online Data Resource)
- Github (Data)
- Software Heritage Archive (Data)
ORCID: https://orcid.org/0000-0001-8739-4601