Exploring early glaucoma and the visual field test: Classification and clustering using Bayesian networks
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 002-91120-5379
- Type
- D - Journal article
- DOI
-
10.1109/JBHI.2013.2289367
- Title of journal
- Ieee Transactions On Biomedical And Health Informatics
- Article number
- -
- First page
- 1008
- Volume
- 18
- Issue
- 3
- ISSN
- 2168-2194
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2014
- 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
-
3
- Research group(s)
-
1 - Artificial Intelligence (AI)
- Citation count
- 16
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper is published in one of the top journals on health informatics. Early work on this was published in the International Conference on Machine Learning 2012 (acceptance rate 29.1% on average and ranked 6th in global AI conferences). Impact: The work led to a PhD with numerous publications on the use of latent variables: Yousefi, L et al. https://doi.org/10.1111/coin.12313 and invited talks (Manchester, Informatics 4 Health) and a special track at IEEE Computer Based Medical Systems 2019 (https://www.uco.es/congresos/cbms2019/ai4h-b2e/).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
