Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification

Diagnosis and appropriate intervention for myocardial infarction (MI) are time‐sensitive but rely on clinical measures that can be progressive and initially inconclusive, underscoring the need for an accurate and early predictor of MI to support diagnostic and clinical management decisions. The obje...

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Detalles Bibliográficos
Autores principales: Panchavati, Saarang, Lam, Carson, Zelin, Nicole S., Pellegrini, Emily, Barnes, Gina, Hoffman, Jana, Garikipati, Anurag, Calvert, Jacob, Mao, Qingqing, Das, Ritankar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Original Research Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667565/
https://www.ncbi.nlm.nih.gov/pubmed/34938570
http://dx.doi.org/10.1049/htl2.12017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667565/
https://www.ncbi.nlm.nih.gov/pubmed/34938570
http://dx.doi.org/10.1049/htl2.12017

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