An explainable machine learning model integrating multidimensional clinical information for early identification and probability stratification of Non-ST-Segment Elevation Myocardial Infarction
- DOI
- 10.21203/rs.3.rs-10595688/v1
- Published
- 2026-09-14
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- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-10595688/v1,
title = {An explainable machine learning model integrating multidimensional clinical information for early identification and probability stratification of Non-ST-Segment Elevation Myocardial Infarction},
author = {He X and Wang Y and Wu J.},
year = {2026},
doi = {10.21203/rs.3.rs-10595688/v1},
url = {https://doi.org/10.21203/rs.3.rs-10595688/v1}
}RIS
TY - JOUR TI - An explainable machine learning model integrating multidimensional clinical information for early identification and probability stratification of Non-ST-Segment Elevation Myocardial Infarction AU - He X AU - Wang Y AU - Wu J. PY - 2026 DO - 10.21203/rs.3.rs-10595688/v1 UR - https://doi.org/10.21203/rs.3.rs-10595688/v1 ER -
APA
X, H., Y, W., & J., W. (2026). An explainable machine learning model integrating multidimensional clinical information for early identification and probability stratification of Non-ST-Segment Elevation Myocardial Infarction. https://doi.org/10.21203/rs.3.rs-10595688/v1
Source records
- europe-pmc · retrieved 2026-09-26T13:00:10.767Z