A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography
- Submitting institution
-
University of Oxford
- Unit of assessment
- 1 - Clinical Medicine
- Output identifier
- 13159
- Type
- D - Journal article
- DOI
-
10.1093/eurheartj/ehz592
- Title of journal
- European Heart Journal
- Article number
- -
- First page
- 3529
- Volume
- 40
- Issue
- 43
- ISSN
- 0195-668X
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2019
- 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
-
24
- Research group(s)
-
-
- Citation count
- 46
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
