Identifying novel phenotypes of elevated left ventricular end diastolic pressure using hierarchical clustering of features derived from electromechanical waveform data.
- DOI
- 10.3389/fcvm.2022.980625
- Published
- 2022
- Container
- Frontiers in cardiovascular medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fcvm.2022.980625,
title = {Identifying novel phenotypes of elevated left ventricular end diastolic pressure using hierarchical clustering of features derived from electromechanical waveform data.},
author = {Burton T and Ramchandani S and Bhavnani SP and Khedraki R and Cohoon TJ and Stuckey TD and Steuter JA and Meine FJ and Bennett BA and Carroll WS and Lange E and Fathieh F and Khosousi A and Rabbat M and Sanders WE},
year = {2022},
journal = {Frontiers in cardiovascular medicine},
doi = {10.3389/fcvm.2022.980625},
url = {https://doi.org/10.3389/fcvm.2022.980625}
}RIS
TY - JOUR TI - Identifying novel phenotypes of elevated left ventricular end diastolic pressure using hierarchical clustering of features derived from electromechanical waveform data. AU - Burton T AU - Ramchandani S AU - Bhavnani SP AU - Khedraki R AU - Cohoon TJ AU - Stuckey TD AU - Steuter JA AU - Meine FJ AU - Bennett BA AU - Carroll WS AU - Lange E AU - Fathieh F AU - Khosousi A AU - Rabbat M AU - Sanders WE PY - 2022 JO - Frontiers in cardiovascular medicine DO - 10.3389/fcvm.2022.980625 UR - https://doi.org/10.3389/fcvm.2022.980625 ER -
APA
T, B., S, R., SP, B., R, K., TJ, C., TD, S., JA, S., FJ, M., BA, B., WS, C., E, L., F, F., A, K., M, R., & WE, S. (2022). Identifying novel phenotypes of elevated left ventricular end diastolic pressure using hierarchical clustering of features derived from electromechanical waveform data.. Frontiers in cardiovascular medicine. https://doi.org/10.3389/fcvm.2022.980625
Source records
- pubmed · retrieved 2026-09-25T18:04:43.059Z
- europe-pmc · retrieved 2026-09-25T18:04:43.139Z