Open AccessIdentifying novel phenotypes of elevated left ventricular end diastolic pressure using hierarchical clustering of features derived from electromechanical waveform data
Author(s) -
Timothy A. Burton,
Shyam Ramchandani,
Sanjeev P. Bhavnani,
Rola Khedraki,
Travis J. Cohoon,
Thomas Stuckey,
John Steuter,
Frederick Meine,
Brett A. Bennett,
William S. Carroll,
Emmanuel Lange,
Farhad Fathieh,
Ali Khosousi,
Mark Rabbat,
William E. Sanders
Publication year - 2022
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/3tmx-q612
Subject(s) - waveform , cardiology , diastole , cluster analysis , medicine , computer science , blood pressure , artificial intelligence , telecommunications , radar