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Risk stratification with explainable machine learning for 30-day procedure-related mortality and 30-day unplanned readmission in patients with peripheral arterial disease
Predicting 30-day procedure-related mortality risk and 30-day unplanned readmission in patients undergoing lower extremity endovascular interventions for peripheral artery disease (PAD) may assist in improving patient outcomes. Risk prediction of 30-day mortality can help clinicians identify treatme...
Autores principales: | Cox, Meredith, Panagides, J. C., Tabari, Azadeh, Kalva, Sanjeeva, Kalpathy-Cramer, Jayashree, Daye, Dania |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678279/ https://www.ncbi.nlm.nih.gov/pubmed/36409699 http://dx.doi.org/10.1371/journal.pone.0277507 |
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