University College Lillebaelt

output

19952017

most citedEvaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data

1 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

A. Hingorani1 · h 114
A. Timmis1 · h 66
Henrietta Forssen1 · h 1
H. Hemingway1 · h 88
H. Pedersen1 · h 22
James Gabe1 · h 9
N. Fitzpatrick1 · h 17
R. Patel1 · h 46
S. Merkulov1 · h 10
Spiros C. Denaxas1 · h 33

collaborating institutions

Cardiovascular Institute HospitalJP1 paper
Institute of Informatics of the Slovak Academy of SciencesSK1 paper
NIHR Barts Cardiovascular Biomedical Research UnitGB1 paper
Odense MunicipalityDK1 paper
University College South DenmarkDK1 paper
University of GlasgowGB1 paper
University of PlymouthGB1 paper
University of SouthamptonGB1 paper
University of Southern DenmarkDK1 paper

Showing 2017Show all

1 paper · 1 filter

cs.LG2017★ 1 cited

Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data

Henrietta Forssen, Riyaz S. Patel, Natalie Fitzpatrick +4

Metabolomic data can potentially enable accurate, non-invasive and low-cost prediction of coronary artery disease. Regression-based analytical approaches however might fail to full…