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.

collaborating institutions

3 papers

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…

math.OA2015

Lifting theorems for completely positive maps

James Gabe

We prove lifting theorems for completely positive maps going out of exact -algebras, where we remain in control of which ideals are mapped into which. A consequence is, tha…

dg-ga1995

Projective structures on moduli spaces of compact complex hypersurfaces

Sergey Merkulov, Henrik Pedersen

It is shown that moduli spaces of complete families of compact complex hypersurfaces in complex manifolds often come equipped canonically with projective structures satisfying some…