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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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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