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Machine learning approaches that use clinical, laboratory, and electrocardiogram data enhance the prediction of obstructive coronary artery disease
Pretest probability (PTP) for assessing obstructive coronary artery disease (ObCAD) was updated to reduce overestimation. However, standard laboratory findings and electrocardiogram (ECG) raw data as first-line tests have not been evaluated for integration into the PTP estimation. Therefore, this st...
Autores principales: | Lee, Hyun-Gyu, Park, Sang-Don, Bae, Jang-Whan, Moon, SungJoon, Jung, Chai Young, Kim, Mi-Sook, Kim, Tae-Hun, Lee, Won Kyung |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400607/ https://www.ncbi.nlm.nih.gov/pubmed/37537293 http://dx.doi.org/10.1038/s41598-023-39911-y |
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