Discovering hospital admission patterns using models learnt from electronic hospital records
- Submitting institution
-
University of St Andrews
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 251887715
- Type
- D - Journal article
- DOI
-
10.1093/bioinformatics/btv508
- Title of journal
- Bioinformatics
- Article number
- -
- First page
- 3970
- Volume
- 31
- Issue
- 24
- ISSN
- 1367-4803
- Open access status
- Out of scope for open access requirements
- Month of publication
- September
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
0
- Research group(s)
-
C - Health Informatics
- Citation count
- 15
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is the first work in the literature to propose the use of WHO's International Classification of Diseases coding as a means of prediction of disease progression, and indeed to introduce the first method which achieves this. Its impact is readily witnessed by the follow-up work from across the globe which has since adopted the idea and developed alternative approaches, most recent ones being based on deep learning.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
