Patient-care Advancement with Responsive Technologies aNd Engagement togetheR (Partner)

The PARTNER project offers solutions to support the optimal patient journey for cardiac patients, and TAVI patients in particular. Fast collaborative workflows of machine-learning based analyzed and harmonised data will increase the productivity of the caregivers and better justify the patient-centric decisions

Researchers

Partners

Barco, Siemens, KPN, NXP, dapasoft, XCo, iClinic, MedVision360, Sopheon

Publications

Journal Articles

1.

R.R. Lopes, M.S. van Mourik, E.V. Schaft, L.A. Ramos, J. Baan Jr., J. Vendrik, B.A.J.M. de Mol, M.M. Vis & H.A. Marquering

Value of machine learning in predicting TAVI outcomes Journal Article

Netherlands Heart Journal, 27 , pp. 443–450, 2019.

Abstract | Links | BibTeX